Journal of Intelligent & Fuzzy Systems - Volume 36, issue 2

Authors: Chen, Yao-Mei | Ho, Wen-Hsien | Chen, Yenming J. | Chen, Kuan-Shan | Liu, Wei-Hsiu

Article Type: Research Article

Abstract: This paper aims to develop a realistic triage system to better quantify a patient’s disease severity for the evaluation of admission or discharging. A good triage can reduce loads of doctors and draw attention of staffs to critical conditions. However, existing systems score on readings of vital signs and the superficial scores usually are apart from doctors’ judgement. Instead of summing up rating score, we take a Bayesian network approach to estimate the source diseases that lead to the observed vital signs, such as temperature, lactate, HCT, and CRP, etc. Because the purpose of this assessment is not making a …correct diagnosis, the source diseases are only stratified to four disease categories. Based on the reading of vital signs, Bayes belief network inferences the probability distributions of the severity for each one of the four disease categories. Finally, the four distributions are then sufficient to rank a patient’s final severity by a probabilistic decision framework. Diffing from traditional paper based evaluation, our method is required to use computer to perform the computation. Our triage results closely match doctors’ judgement. Sensitivity and specificity are improved significantly, comparing to traditional APACH II systems. Absolute and relative assessment gains were calculated and proved to be practical. Show more

Keywords: Bayesian belief network, admission triage, assessment gain, disease severity score

DOI: 10.3233/JIFS-169880

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1049-1055, 2019

Authors: Jeong, Sang-Ki | Choi, Hyeung-Sik | Kang, Jin-Il | Oh, Ji-Youn | Kim, Seo-Kang | Minh Nhat, Thieu Quang

Article Type: Research Article

Abstract: The underwater glider (UG) is an underwater exploration equipment that propels itself with very low power consumption by converting the vertical motion into a horizontal motion using a buoyancy control device and a wing. To enhance gliding performance of the UG, a hybrid underwater glider (HUG) has been developed to compensate for the disadvantages of slow speed and horizontal movement and limited navigation accuracy of the UG by attaching propellant to the UG [15 ]. In this paper, the structure, control system and control algorithm of the HUG are presented. Also, for the developed HUG, motion performance of the …HUG is simulated by computer. To realize precise navigation of the developed HUG, an attitude reference system (ARS) composed of a ring laser gyroscope(RLG) and a geomagnetic sensor is developed with the Extended Kalman Filter (EKF) algorithm. To control the HUG, the six degrees of freedom equations of the HUG with the hydrodynamic force coefficient were studied. A control algorithm based on the neural network was proposed to reduce tracking error of the HUG. To validate the proposed control algorithm, a computer simulation using Matlab / Simulink was performed [13 ]. Show more

Keywords: Hybrid underwater glider, ARS (Attitude Reference System), underwater navigation, neural network self- tuning -PID, neural network - PID parallel controller

DOI: 10.3233/JIFS-169881

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1057-1072, 2019

Authors: Li, Jun-Jun | Xu, Bo-Wei | Wu, Hua-Feng

Article Type: Research Article

Abstract: Immersed tube tunnel serves as a preferred method of construction in large underwater tunnel engineering. In this work, modified quantum particle swarm optimization for translation control of immersed tunnel element with pontoons is studied aiming at its specific configuration. The translation control model is built based on the resistances of immersed tunnel element and two floating pontoons. To expand the search space, particles are coded according to Bloch coordinates. To make full use of three positions in each particle, they are selected with certain probabilities in accordance with the corresponding fitness values. Main dimension change and phase shift are implemented …to improve the efficiency of velocity update for particles. Simulation results of Hong Kong-Zhuhai-Macao Bridge project delivers performance improvement of the proposed method. Show more

Keywords: Immersed tunnel element with pontoons, translation control, quantum particle swarm optimization, Bloch coordinates of qubits

DOI: 10.3233/JIFS-169882

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1073-1081, 2019

Authors: Wong, Ching-Chang | Feng, Hsuan-Ming | Lai, Yu-Cheng | Yu, Chia-Jun

Article Type: Research Article

Abstract: A visual servo control system combines with the model-based image segmentation and an Ant Colony Optimization (ACO) algorithm to design an excellent six-Degree-of-Freedom (6-DOF) robot manipulator for solving the complicated combinations of pick-and-place tasks. A simple but efficient vision-based segmentation methodology is developed to extract the object information by getting appropriate feature of the controlled platform when the robot is tracking the manipulated image patterns. The evolutionary ACO learning algorithm explores the near-optimal path selections to drive the 6 ROF robot arm kinematics model for completing the Pick-and-Place tasks as soon as possible. Inverse orientation kinematic machine is proposed to …successfully guide the robot manipulator into the desired position. Several software simulations include image segmentations, the shortest path selection, and the performance validation in various experiments. These results are described and presented to demonstrate that the designed image model-based robot manipulator wins the excellent Pick-and-Place task. Not only the software simulation, the practical robot synchronously performed in real-world to reach the higher feasible functions in the eye-to-hand experiments. Show more

Keywords: Robot manipulator, pick-and-place task, Ant Colony Optimization, image segmentation, eye-to-hand

DOI: 10.3233/JIFS-169883

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1083-1098, 2019

Authors: Zhao, Jing | Lin, Chih-Min

Article Type: Research Article

Abstract:  This paper aims to propose a more efficient algorithm for the multi-dimensional classifier design. A novel model of wavelet fuzzy brain emotional learning neural network (WFBELNN) is proposed. This model comprises a wavelet function, a fuzzy inference system and a brain emotional learning neural network. As a result, the learning speed and the classifying accuracy can be effectively improved by the proposed model. The structure of WFBELNN is constructed first, and then the gradient-descent method is used to online tune the parameters of WFBELNN. Finally a medical pattern recognition system is studied to verify that the accurate multi-dimensional pattern recognition …can be achieved by using the proposed model. A comparison between the proposed WFBELNN and other models shows that the proposed model can achieve the most accurate classification of the medical pattern recognition and it is also more suitable to deal with the influence of the uncertainties. Show more

Keywords: Classifier, wavelet function, emotional neural network, sensory neural network, fuzzy system

DOI: 10.3233/JIFS-169884

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1099-1107, 2019

Authors: Pan, Nan | Kan, Lifeng | Liu, Yi | Fu, Wei | Hou, Zhanwei | Li, Gang | Qian, Junbin | Fu, Xiaodong

Article Type: Research Article

Abstract: There are lots of line traces on the surface of the broken ends which left in the cable cutting case crime scene along the high-speed railway in China. The line traces usually present nonlinear morphological features and has strong randomness. It is not very effective when using existing image-processing and three-dimensional scanning methods to do the trace comparison, therefore, a fast algorithm based on wavelet domain feature aiming at the nonlinear line traces is put forward to make fast trace analysis and infer the criminal tools. The proposed algorithm first applies wavelet decomposition to the 1-D signals which picked up …by single point laser displacement sensor to partially reduce noises. After that, the dynamic time warping is employed to do trace feature similarity matching. Finally, using linear regression machine learning algorithm based on gradient descent method to do constant iteration. The experiment results of cutting line traces sample data comparison demonstrate the accuracy and reliability of the proposed algorithm. Show more

Keywords: Signal detection, wavelet transforms, lasers, machine learning

DOI: 10.3233/JIFS-169885

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1109-1120, 2019

Authors: Chen, Yung-Yao | Hsia, Chih-Hsien | Lu, Chiao-Wen

Article Type: Research Article

Abstract: Multiple exposure fusion (MEF) is attracting considerable attention in research on high dynamic range (HDR) imaging: Eliminating the need to generate an intermediate HDR image, MEF directly expands an image’s dynamic range and thus provides greater detail enhancement than traditional HDR techniques. However, in the fusion stage, the optimal weights of each pixel in the images input to the final synthesized image are challenging to determine and usually required manual tuning of parameters. In addition, many MEF algorithms have been proposed, but most have lacked a self-regulation mechanism. To tackle the above disadvantages, we apply fuzzy theory and present a …novel MEF framework with a fuzzy feedback structure. In this work, over- and under-exposed images are generated from a single input image using local histogram stretching. This avoids the creation of ghost artifacts when multiple exposed images are fused in the dynamic scene containing object motion. In the fusion stage, fuzzy logic is used to determine pixel weights based on gradient and chrominance analysis, and a guided image filter is used to suppress noise and enhance edges in the weight maps. To ensure detail enhancement without excessive or insufficient sharpness, we developed a simple sharpness measure named the edge-map overlapping rate (EOR). With EOR and the feedback structure, users are allowed to manipulate the output synthesized image to their preferred sharpness level, and the above weights are appropriately redesigned by automatically regulating the magnitude of the fuzzy input. From experimental results, this work demonstrated excellent image quality and outperformed other existing HDR/MEF methods. Show more

Keywords: Fuzzy logic, fuzzy feedback, high dynamic range (HDR), multiple exposure fusion (MEF)

DOI: 10.3233/JIFS-169886

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1121-1132, 2019

Authors: Lin, Ting-Lan | Chuang, Chien-Hui | Chen, Shih-Lun | Lin, Nung-Hsiang | Miaou, Shaou-Gang | Lin, Szu-Yin | Chen, Chiung-An | Liu, Hui-Wen | Villaverde, Jocelyn Flores

Article Type: Research Article

Abstract:  For dentists, it is very important to determine the color of the denture. Shade selection in dental practice is an important and difficult task. In the dental shade matching process, the shade selection will be affected by the observer’s physiological conditions such as age, mood, fatigue, and so on. These will make a difference on the judgement between the matching shade and the actual teeth color. In the past, dentists use shade tabs as a reference basis to match the teeth in the intra-oral environment. In this paper, an efficient color analysis methodology based on image processing and fuzzy decision …techniques is proposed for dental shade matching. Since the color information is a very important index for the shade matching, the proposed methodology used the chrominance values Cb and Cr to increase the accuracy of color analysis. In order to improve the performance of the proposed methodology, three formulas, such as PSNR value of Cb, PSNR value of Cr, and S-CIELAB value, were selected by a fuzzy decision model. As shown in the results, the proposed efficient methodology based on fuzzy decision techniques improved at least 1.92 % in average accuracy and 0.59 in average score from the PSNR (Cb) and PSNR (Cr) in this work. In addition, the average values of the accuracies and scores in this work are 92.31% and 98.74, respectively, which are much better than the previous studies. To summarized, this work is the first study that applied fuzzy decision with the PSNR (Cb), PSNR (Cr) and S-CLIELAB information for dental shade matching. The results showed that the proposed methodology performs better than the previous work and other methods. Show more

Keywords: Dental shade matching, fuzzy decision, chrominance, Cb, Cr, PSNR (Peak Signal-to-Noise Ratio), S-CLIELAB

DOI: 10.3233/JIFS-169887

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1133-1142, 2019

Authors: Jian, Liu | Zequn, Jin | Rui, Zhang | Meiju, Liu | Enyang, Gao

Article Type: Research Article

Abstract: One difficulty that remains in image processing is the accurate location of key points in depth images. This paper presents an intelligent location method for identifying key points in depth images based on deep convolutional neural networks. This study used Kinect to process images, calculating the differences in depth as well as the directional gradient in subject depth images. The entirety of each depth image was traversed through a sliding window to identify the feature vector. Principal component analysis was used to reduce image dimensions. The random forest technique was used to select characteristics of strong classification as well as …to actualize training and testing. A depth convolutional neural network was used to detect key points in images of pedestrians. During the study, an experimental test was conducted in a general environment under various conditions, including occlusion and low light. Even under these suboptimal conditions, the detection rate of the proposed method was 87.72%. Furthermore, this method was compared with the GEBCF and FCF algorithms, and proved to increase the detection rate by 0.92% and 0.68%, respectively. Using the depth convolutional neural network in the pedestrian key point positioning experiment, the average error obtained when comparing the predicted point coordinates to the sample mark coordinates was 2.102 pixels. These experimental results show that this method has good accuracy and robustness for the key point location problem of pedestrians in depth images. Show more

Keywords: Pedestrian detection, depth image, key point location, deep learning

DOI: 10.3233/JIFS-169888

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1143-1151, 2019

Authors: Lai, Qinghui | Yu, Qingxu | Dong, Jiayu

Article Type: Research Article

Abstract: Rotary tiller gearbox bears alternate and complex dynamic load. To provide accurate load for its design, use UG software to establish 3D parametric modeling of main parts. Import 3D parametric modeling of blade and shaft into EDEM software. Use Bonding model to establish simulation model of soil particles. Through numerical simulation of the impact load from blade and soil, the dynamic load parameters of blade and shaft are derived. Obtain the model of gearbox housing in ANSYS software and import it into ADAMS software as flexible body. Based on the dynamic load parameters of blade and the model of gearbox …housing, multi-body dynamical rigid-flexible coupling simulation analysis for rotary tiller is done with ADAMS software. ADAMS software solves the model by adopting Lagrange dynamics equation, rigidity integral algorithm and sparse matrix technology, through which the load model of gearbox is derived. Finally, import the load model into ANSYS software, and make stress and strain analysis on the rotary tiller gearbox, by applying the load same as recorded in load file, to find out design defects and weakness of rotary tiller gearbox, which provide references for the design of rotary tiller gearbox, and help to optimize the design. Show more

Keywords: Rotary tiller gearbox, EDEM, ADAMS, ANSYS, rigid-flexible coupling

DOI: 10.3233/JIFS-169889

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1153-1160, 2019

Authors: Li, Hao | Pu, Bin | Kang, Yan | Lu, Chen Yang

Article Type: Research Article

Abstract:  There exists a huge amount of ECG data available in heart disease diagnosis which is found difficult in handing. Recently, many researchers focused on mining disease diagnosis to innovate the hidden patterns and their relevant features. Mining bio-medical data is one of the predominant research areas where clustering techniques are emphasized in heart disease diagnosis. But few people deal with large heart disease datasets and then classify disease data sets according to heart disease feature. We propose a method of anomaly threshold based on multiple classifiers can be well suited to datasets containing abnormal data, and use XGBoost algorithm as …a sub-classifier to process massive ECG data. This research focuses on the heart disease classification problem. The data set is divided into two categories, and then it was classified into more specific categories, experimental results show that this method can improve classification accuracy. The experiments are conducted on massive instances of different heart disease obtained from the hospital actual cases and two data sets of UCI. In fact, we compared SVM, C4.5, Naive Bayes, Logistic, RandomForest and XGBoost algorithms, and found that tree-based model classifier is the best fit to predict arrhythmia. The method proposed in this paper is of great significance to the processing and forecasting system of large medical data sets, and promote the development of wisdom medical care. Show more

Keywords: ECG, heart disease diagnosis, heart disease, intelligent medical

DOI: 10.3233/JIFS-169890

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1161-1169, 2019

Authors: Hsia, Chih-Hsien | Chien, Chin-Hsiang | Hsu, Hao-Wei | Chiang, Jen-Shiun | Tseng, Hsien-Wei

Article Type: Research Article

Abstract:  This study proposes a method that uses the Time-of-Flight (ToF) for an assisting device. A contactless Kinect device is used to obtain images of basketball players Field Goal Shooting (FGS) is used to detect posture. The method classifies the FGS postures of players into 3-stage routines for analysis. The ToF first sets the posture correcting conditions using the data provided by professional players and analyzes the postures with the highest and lowest FGS percentage and the most and least data from the statistical results. This gives a stable FGS reference value for the basketball player. The proposed technique has a …higher correction rate for the FGS posture (for 100 continuous shots) for a player and allows processing in real-time, with a delay of only 0.4μ s. Show more

Keywords: Time-of-Flight (ToF), Field Goal Shooting (FGS), Player movement correction

DOI: 10.3233/JIFS-169891

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1171-1181, 2019

Authors: Kang, Yan | Li, Hao | Lu, Chenyang | Pu, Bin

Article Type: Research Article

Abstract: In this paper, we present a novel method for data-mining large informal product descriptions rather than extracting requirement features from proprietary project repositories. Our algorithm hybridizes deep-learning algorithms such as word2vec and recurrent neural network (RNN) with classical techniques to improve the performance of text analysis. Given the inaccuracy and incompleteness of the software requirement descriptions on websites, the instance-transfer learning method is utilized to construct a robust classifier and predict domain feature knowledge based on domain knowledge similar to the target domain. The bagging clustering algorithm is utilized with multiple clustering algorithms to help select transfer instances. [Author to …confirm changes.]The RNN-based algorithm is utilized as a useful alternative to predict missing features by studying the requirement descriptions of a related software system, while word2vec is utilized to extract sensible feature keywords for the specific software domain. [Author to confirm changes.]Our RNN model for every subclass is based on the clustering result, and we construct subclass classifiers to recommend requirement keywords. Requirement features recommended by our algorithm potentially increase opportunities for requirement classification, promote software requirement quality, and deliver more reliable software products. We explain the details of implementation and perform experimental work on real requirement descriptions to establish its worth. Show more

Keywords: Word2vec, RNN, transfer learning, feature model, software requirement

DOI: 10.3233/JIFS-169892

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1183-1191, 2019

Authors: Qian, Junbing | Bao, Liping | Pan, Nan | Ji, Chuankun

Article Type: Research Article

Abstract: This paper presents a method to suppress the thrust disturbance for the permanent magnet linear synchronous motor (PMLSM), which is used as an actuator in an active vibration absorber. Because the characteristics of the working transmission structure of the PMLSM are relatively special, the thrust ripple and load disturbance will yield in the operation, and they will directly affect the control accuracy and positioning precision. Simultaneously, the thrust of the PMLSM directly acts on the object, and the thrust disturbance of the PMLSM will appear in the payload of the vibration absorber. Based on the actuator, the Proportional-integral-derivative (PID) control …is investigated, and the transfer function of the actuator is obtained. Then, the thrust disturbance of the PMLSM is theoretical studied by analyzing the current flows through the PMLSM. A new method of trajectory overlay planning is presented, where the original input is divided into two inputs with different amplitudes and they suppress each other. Based on the method, the PID control can restrain the disturbance to achieve a predesigned output. The effectiveness of the proposed method is verified by simulation and experimental results. Show more

Keywords: PMLSM, actuator, thrust disturbance, active vibration absorber, PID control

DOI: 10.3233/JIFS-169893

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1193-1203, 2019

Authors: Lu, Guang-Qing | Čereška, Audrius | Augustinavičius, Giedrius | Maskeliunas, Rimas | Ragulskis, Minvydas

Article Type: Research Article

Abstract: A novel planar precise positioning stage on the rotating platform for calibration on raster scales of the rotary encoder is proposed in this paper. The monolithic structure is constructed with a flexible element and two ultra-fine adjustment screws. The structure for required motion is designed and optimized by software package of Solid Works Simulation, and then their performances are evaluated using numerical modelling approach. The mathematical model is then verified by resorting to finite element analysis (FEA) and experiment. The established analytical FEA models are helpful for optimizing a reliable architecture and improving performance of the precise positioning system.

Keywords: Positioning stage, flexible element, finite element analysis, simulation

DOI: 10.3233/JIFS-169894

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1205-1214, 2019

Authors: Luo, Yung-Chang | Chen, Yu-Hsiang

Article Type: Research Article

Abstract: In this study an adaptive on-line speed estimation approach has been proposed for a sensor-less indirect air-gap field orientation controlled (AGFOC) induction motor (IM) drive. The indirect AGFOC IM drive was established by utilizing the stator current and air-gap flux. The estimated synchronous speed was derived from the developed reactive power based adaptive air-gap flux estimator, and the estimation of rotor speed was made by subtracting the slip speed from the estimated synchronous speed. Speed estimation and control by the AGFOC IM drive could be extended to include constant power operation mode by utilizing the field weakening technique. The MATLAB® …∖Simulink ® toolbox was used to simulate this system and all the control algorithms were realized using a TI DSP 6713-and-F2812 card to generate pulse width modulation (PWM) signals to the power stage, actuate an IM to validate this approach (sensor-less AGFOC). Both simulation and experimental responses confirmed the effectiveness of the proposed system. Show more

Keywords: Speed estimation, air-gap field orientation controlled (AGFOC), adaptive air-gap flux estimator, field weakening technique

DOI: 10.3233/JIFS-169895

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1215-1230, 2019

Authors: Hu, Ming-Sen

Article Type: Research Article

Abstract: The chemical compound NOx is one of the biggest sources of air pollution, and presently Selective Catalytic Reduction (SCR) is the most frequently used method to dispose of NOx. A proportion of NH3 as a reducer is injected into the system and mixed with the NOx waste gas so as to be treated thoroughly. With sufficient O2 , NOx is reduced to innocuous N2 and H2 O by the catalytic reduction of the catalyst. The purpose of this study is to develop a monitoring system for blending the mixing ratio and concentration of NO automatically and for SCR …catalyst De-NOx performance test analysis. This monitoring system enables the user to set various control parameters and instrument parameters, executes user calibration operations (e.g. zero calibration, full scale calibration and low concentration calibration), and tests the De-NOx performance of the plate type catalyst. In the catalyst De-NOx performance testing process, the system prepares the NO mixing ratio and concentration automatically according to the blending concentration and temperature control curves set by the user and then implements the catalyst bed multi-stage temperature control, so as to complete NO or NH3 concentration detection and automatic data logging as the base of De-NOx performance test analysis. Show more

Keywords: Nitrogen oxides, selective catalytic reduction, De-NOx performance, automatic control system

DOI: 10.3233/JIFS-169896

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1231-1244, 2019

Authors: Weng, Jian-Fu | Su, Kuo-Lan

Article Type: Research Article

Abstract: Automated guided vehicle is the most important research issues for mobile robot development. The important research issue of the automated guided vehicle (AGV) is navigation system in recent years. Navigation system can be divided into self-localization, path planning and obstacle avoidance for indoor service execution. The application fields have security patrol or package delivery. Furthermore, recharging is necessary before the battery power has exhausted. The paper develops the automated guided vehicle that is designed and built with a 4WD mecanum wheel platform. Due to the laser ranger’s high precision, we applied the laser range finder to achieve the environment map …construction, so the self-localization via particles filter (PF) and the path planning algorithms can be utilized with the map. The practical motion and safety avoidance strategies are also proposed for robot motion control. Finally, the sensory fusion methods are also integrated with the laser ranger and RGB-D camera for automated guided vehicle while performing the docking process. The experimental results show the successful demonstrations of autonomous patrol and docking for self-recharging. Show more

Keywords: Automated guided vehicle, particles filter, sensory fusion methods, RGB-D camera

DOI: 10.3233/JIFS-169897

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1245-1257, 2019

Authors: Wong, Ching-Chang | Chen, Hua-Ching | Lee, Chin-Tan | Wang, Chien-Chung | Feng, Hsuan-Ming.

Article Type: Research Article

Abstract: A high sensory robot system conveniently controls the mobile robot action through the Natural human-machine interaction. Therefore, different hand motions are realized to approximate the required service tasks. Magnetic sensors are located at the defined path to guide the robot platform. Three ultrasonic sensors settle at the outside of mobile robot platform to detect possible blocks in an unknown environment. The RFID reader is proposed to understand the real position of mobile robot in the dynamic space. In data fusion machine, some matched position signals are selected into database for extracting the possible tracks in advance. Therefore, the appropriate path …is remembered and will be reloaded again to guide the mobile robot into the desired target at the patrol mode. In practical experiments, people communicate with robot through the hand recognitions of Kinect sensor. Sensor information is suitable to handle various service tasks, i.e. pull the pallet in or extend it out, by the human-like movement. A fuzzy system with suitable rules is utilized to drive the server motor for achieving the great performance. The robot system is not only controlled by an interactive interface but also reached an autonomous navigation by extracting the appropriate mapping information. The high sensory robot system obtains interactive actions with the combinations of image recognitions, suitable path planning and obstacle detecting technologies to approach the guiding goal. In the implementation of hardware, the architectures of mobile robot and motor drivers are completely assembled to support the home tasks. The soft fuzzy system generates the robust robot regulation to automatically achieve the perfect feasibility of fetch-and-give tasks. Show more

Keywords: High sensory, mobile robot, fuzzy system, indoor applications

DOI: 10.3233/JIFS-169898

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1259-1271, 2019

Authors: You, Peng-Sheng | Hsieh, Yi-Chih

Article Type: Research Article

Abstract: Bicycle-sharing systems are commonly established at geographically dispersed locations to create their rental service networks. To provide customers with flexibility and convenience, bicycle-sharing systems commonly allow them to pick up bicycles from one station and return them to a different one. However, allowing customers to return their rented bicycles to different stations can possibly lead to an imbalance in the bicycle rental network. One of the approaches to overcome the bicycle imbalance problem is to apply dynamic pricing to motivate consumers to return the rented bicycles to stations without a sufficient number of bicycles. This study developed a constrained dynamic …pricing model to address the bicycle imbalance problem. Moreover, this study aimed to maximize the total revenues over a planning horizon through dynamic pricing strategies. We identify some necessary conditions for optimal sale prices. Using these conditions, we develop a heuristic algorithm based on linear programming and an evolutionary algorithm to efficiently produce comprise solutions. The proposed model and solution procedure were applied to analyze the bicycle system in Taiwan. Sensitivity analyses were also conducted to investigate the effects of various system parameters. Show more

Keywords: Bicycle sharing, rental network, imbalance, dynamic pricing, algorithm

DOI: 10.3233/JIFS-169899

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1273-1285, 2019

Authors: Dai, Jhen-Tang | Juang, Jih-Gau

Article Type: Research Article

Abstract: The purpose of this study is to integrate fuzzy sliding mode control (FSMC) into automatic landing system (ALS) to enhance aircraft safety during landing. FSMC can provide compensation signal to PID controller. The adaptive weight particle swarm optimization (AWPSO) and grey-based particle swarm optimization (GPSO) are applied to tune the matrix of controller parameters of the sliding surface. Fuzzy rules are applied to sliding mode controller to find the gain of the differential sliding function, sliding condition can be satisfied and stable control system can be achieved. PID controller is the main controller of the aircraft and it is also …used for the FSMC controller in learning process. In this study, the proposed intelligent system can improve the ALS to against the wind disturbance and control aircraft landing in severe condition. Stability analysis is provided in the controller design by the use of Lyapunov theory. Show more

Keywords: Fuzzy sliding mode control, particle swarm optimization, automatic landing, wind disturbance

DOI: 10.3233/JIFS-169900

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1287-1299, 2019

Authors: Chen, Ta-Cheng | Wang, Sheng-Chuan | Wu, Chun-Hui | Huang, Ke-Wei

Article Type: Research Article

Abstract: This study is to investigate the nonlinearly constrained various signal detector location allocation problems in which the types of detectors and the corresponding numbers and locations can be determined at the same time so as to minimize the maximum detecting failure rate in a specified area. In other words, the objective of the detector location allocation problem is to minimize the maximum failure rate by determining the best possible conjunction of three types of decision variables, i.e. , the type of detector, the numbers of each detector type and where to build up each of them with a limited …resources. So, the quality of reliability of event detecting can be assured and consistent. By the way, the signal intensity usually disintegrates proportionally to some power of the distance from the detector. That makes the longer distance far away the detector, the bigger failure rate in detection of the event. The signal detector allocation problem is described as a mixed-integer nonlinear programming model, usually using math programming or heuristic optimization methods for finding the optimal solution or near optimal solution. While using the both methods, the difficulties encountered are the amount of decision variables and the difficulty of not violating the constraints. In this study, a two-phase evolutionary computation approach based on the immune algorithm and particle swarm optimization has been developed for overcoming the difficulties and finding the optimal solutions for the detector allocation problems effectively. Finally, the performance of the proposed methodology has been evaluated with the commercial optimization software. Numerical results illustrate that our approach is with well performance for the constrained detector allocation problems considered in this paper. As reported, solutions acquired by using our approach are as well as or better than those found by using LINGO® . Show more

Keywords: Location allocation, mixed-integer nonlinear programming, evolutionary approach

DOI: 10.3233/JIFS-169901

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1301-1310, 2019

Authors: Kuo, Wen-Chung | Wang, Chun-Cheng | Kuo, Shao-Hung | Wuu, Lih-Chyau

Article Type: Research Article

Abstract: Traditional digital image authentication is usually based on signature or fragile watermarks. This performs authentication without any secret hidden data. Until now, many image authentication schemes with error detection based on watermarks or signatures have been proposed. Tampering attack can be detected but the areas tampered with cannot be determined for these schemes. In order to improve this shortcoming, a verifiable data hiding scheme is proposed for digital images in this paper. The main idea of the proposed scheme is combining multi-bit encoding function and multi-group data hiding scheme to increase embedding capacity and strengthen security with parity check to …verify the tampering of digital images having embedded secret messages. Therefore, there are three major contributions in our proposed scheme. First, it can achieve image tamper detection and find what has been modified. Second, it resists collage attack. Third, it can increase the embedding capacity. These contributions are discussed according to experimental results. The proposed scheme includes a high security to reduce detection of hidden data and the MSE analysis also proves this scheme has good image quality. Show more

Keywords: Multi-bit encoding function, parity check, watermark, tamper detection, MSE analysis

DOI: 10.3233/JIFS-169902

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1311-1321, 2019

Authors: Chou, Hsi-Chiang

Article Type: Research Article

Abstract: The rapid rates of industrialization and urbanization have induced considerable changes in family structures, increasing the number of older adults who voluntarily or involuntarily live alone. The rapid increase in the population of older adults living alone has raised many safety concerns, with fall-induced injuries and dementia presenting immediate dangers to older adults. Falls are prevalent in older adults, and not only cause injuries for the individuals, but also impose an extremely heavy burden on family members and caregivers. Furthermore, dementia is common among older adults in aging societies and is usually accompanied by dysfunctions in daily living activities, causing …considerable difficulties for family members. The objective of this study was to develop a remote monitoring and control (M&C) smart floor system for detecting falls and wandering patterns in older adults with dementia in order to provide comprehensive care assistance. The proposed system integrates a floor detection sensor and Wi-Fi technology to analyze and determine the occurrence of falls and wandering in older adults with dementia. Conventionally, detection processes for falls and wandering in older adults with dementia are conducted using visual monitoring or wearable detectors, which may reduce the privacy, comfort, and convenience of older adults. By contrast, the proposed system maintains users’ privacy and eliminates the inconvenience associated with wearing detectors. The system determines fall behaviors and wandering patterns in older adults with dementia; when an accident occurs, the system can issue a warning and notify medical care units or relatives for immediate attention, thus reducing the occurrence of further accidents. The remote M&C and warning functions of the proposed system were verified through experiments. Show more

Keywords: Fall detection, dementia, wandering patterns

DOI: 10.3233/JIFS-169903

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1323-1331, 2019

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1333-1333, 2019

Authors: Karaşan, Ali | Kahraman, Cengiz

Article Type: Research Article

Abstract: Location selection for a freight village is extremely important since it has strong impacts on quality of life such as reduction of traffic congestion, reduction of carbon emission, and effective use of lands. The inclusion of such criteria in a location selection requires the fuzzy sets to be used in the decision making methodology. In this paper, we propose a novel integrated fuzzy decision model for the location selection of freight villages. In this integrated methodology, we use DEMATEL for determining the most effective criteria and their inner and outer dependencies; ANP for weighting the determined criteria; and TOPSIS for …finding the best location alternative. The proposed model is applied to a case study for the city of Istanbul in Turkey. Show more

Keywords: Intuitionistic fuzzy sets, DEMATEL, ANP, TOPSIS, freight village

DOI: 10.3233/JIFS-17169

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1335-1352, 2019

Authors: Zadehparizi, Fatemeh | Jam, Shahrokh

Article Type: Research Article

Abstract: In this paper, a new chaotic teaching learning based optimization (CTLBO) is proposed. TLBO is a rather newly proposed population-based algorithm. This algorithm has no control parameters for the tuning and has a simple structure. We improve its performance by chaotic maps. First, the presented CTLBO is tested on nine unimodal/multimodal benchmark functions. Then, chaotic sequences are applied as vectors with different initial values for design of a frequency reconfigurable antenna (FRA) as a practical example. Comparisons of the performance of this algorithm with those of the basic TLBO, genetic algorithm and particle swarm optimization show the ability of this …algorithm in design of FRAs in terms of faster convergence and better performance. A prototype of the optimized antenna with CTLBO algorithm is fabricated and the simulation and measurement results agree suitably. Show more

Keywords: Teaching learning based optimization, Chaos theory, Frequency reconfigurable antenna.

DOI: 10.3233/JIFS-171420

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1353-1360, 2019

Authors: Gupta, S. K. | Dangar, D. | Ahmad, I. | Al-Homidan, S.

Article Type: Research Article

Abstract: In this study, we propose a formulation of a Mond-Weir type dual program for a multiobjective nonlinear optimization problem under fuzzy environment. To deal with the multiobjectivity in the formulation, we consider the concept of weak Pareto optimal solution in the fuzzy sense. We use the Hukuhara metric/ difference to define the distance/difference between two fuzzy numbers. Further, we establish weak and strong duality theorems under fuzzy pseudo/quasi-convexity assumptions. Moreover, we also validate these duality relations using various numerical illustrations.

Keywords: Multiple objective programming, Fuzzy valued function, Mond-Weir type duality, Partial ordering, Hukuhara difference

DOI: 10.3233/JIFS-171797

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1361-1373, 2019

Authors: Dorfeshan, Y. | Mousavi, S. Meysam

Article Type: Research Article

Abstract:  Uncertainty plays an important role in project decision-making problems that involve incomplete and imperfect information of real-world situations. To completely considering the uncertainty of decision-making methods, Pythagorean fuzzy sets (PFSs) are used. PFSs in comparisons with classic fuzzy sets provide degrees of membership, non-membership and hesitancy, and in comparisons with intuitionistic fuzzy sets (IFSs), they prepare the larger space to explain the agreement, disagreement and hesitancy grades. In this paper, to tackle the uncertainty of real-world projects and determine the critical path of projects by considering efficient criteria, such as time, cost, risk, quality and safety, a new group decision …methodology is extended based on concepts of technique for order of preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS) methods under PFSs. Furthermore, a new modified version of the proposed methodology is used to specify the weight of each expert. Finally, a case study from the literature, concerning workflow schema of marble processing plants project, is presented to better express the capability of the proposed methodology. Show more

Keywords: Project critical path, marble processing plant, Pythagorean fuzzy sets (PFSs), group decision-making methodology, decision makers’ weights, TOPSIS, COPRAS

DOI: 10.3233/JIFS-172252

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1375-1387, 2019

Authors: Ozkok, Beyza Ahlatcioglu

Article Type: Research Article

Abstract: Linear Programming (LP) is an optimization problem, which deals with finding optimal solutions under set of linear inequality or linear equality constraints. Fuzzy Linear Programming (FLP) and Fuzzy Linear Programming problems (FFLP) have gained great importance in recent years due to the uncertainties that may arise in the parameters and variables of the problems. In this paper we provided an extension to Ozkok et al. [Ozkok, B. A., Albayrak, I., Kocken, H. G., & Ahlatcioglu, M. (2016). An approach for finding fuzzy optimal and approximate fuzzy optimal solution of fully fuzzy linear programming problems with mixed constraints. Journal of Intelligent …& Fuzzy Systems, 31(1), 623-632.] to find fuzzy optimal and approximate fuzzy optimal solution of FFLP with trapezoidal fuzzy numbers. Show more

Keywords: Fully fuzzy linear programming problem (FFLP), trapezoidal fuzzy numbers, ranking function, infeasibility

DOI: 10.3233/JIFS-18016

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1389-1400, 2019

Authors: Tarek, Zahraa | AL-Rahmawy, Mohammed | Tolba, Ahmed

Article Type: Research Article

Abstract:  Traffic congestion is a big problem that influences the traffic flow in big cities, so better control of the traffic signals is always searched to solve this type of traffic problems. Fog computing is one of the most efficient paradigms for traffic system control as it enables connecting and analyzing big traffic data to help the control of traffic signals in the appropriate time. There are different optimization methods, which can be used to control traffic signal; one of these is Particle Swarm Optimization (PSO ) algorithm, and there is correlation between PSO parameters (particle velocity, position) and traffic …parameters (vehicle speed and location). Roundabouts with traffic signals is one of the modern roads infrastructures used to reduce traffic jam. Our objective is to minimize the average delay time in order to decrease the traffic congestion. This paper presents a control strategy called COTSD-PSO for optimizing traffic signaling based on PSO combined with three sub-controllers; this strategy depends on traffic control rules. These sub-controllers are PSO-Jump , PSO-Turn and PSO-Mix depend on two parameters; extension time and urgency degree for the different phases in the traffic cycle. PSO algorithm is applied to optimize the control of the traffic signal network for roundabouts model on fog computing environments using real data from Taif streets in KSA country. The PSO simulation results show that the PSO-Mix has the fastest convergence rate for the optimal solution and the best performance in minimizing the average delay time compared with the other combinations. Show more

Keywords: Fog computing, traffic control, particle swarm optimization, roundabout, extension time, urgency degree, delay time

DOI: 10.3233/JIFS-18077

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1401-1415, 2019

Authors: Wang, Weizhong | Liu, Xinwang | Qin, Jindong

Article Type: Research Article

Abstract: The Failure mode and effect analysis (FMEA) is an effective risk evaluation approach which has been widely used to assist in risk controlling in various workplaces. However, in practice, the conventional FMEA approach suffers from the drawbacks associated with the risk evaluation and priorization methods. In this paper, a novel risk priorization method for FMEA based on the extended MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the Full Multiplicative Form) method is proposed. First, the interval type-2 fuzzy sets are applied to deal with the uncertainty of risk evaluation in FMEA. Second, the distance-based method is used to calculate the …importance weight of each risk factor. Then, an extended MULTIMOORA method is presented to rank risk priority of each failure mode, in which the distance measure for interval type-2 fuzzy number is incorporated. Finally, a practical case in steel company is selected to illustrate the application and feasibility of the proposed approach. A comparative analysis is conducted to demonstrate the effectiveness of the developed risk priorization method. Show more

Keywords: Failure mode and effect analysis, risk prioritization, interval type-2 fuzzy set, MULTIMOORA method

DOI: 10.3233/JIFS-181007

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1417-1429, 2019

Authors: Santhi, B. | Brindha, G.R.

Article Type: Research Article

Abstract: The exponential growth of Internet through sharing text content necessitates the analysis to convert them into useful information. The research areas such as Web mining, Opinion mining and Text mining focus on studies namely content mining, statistical analysis, prediction, and classification. Multinomial Naïve Bayes (MNB), the state of art of Bayesian classifier is the fastest and simplest text classifier. The objective of the proposed study is to enhance the classification by substituting the conditional probability of existing MNB with probability based frequency computation. A new combination that consists of Pointwise Mutual Information (PMI) and different normalized Term Frequency (TF) is …used for computing the conditional probability. The new combinations provide weight to the words based on the information gain carried by the words related to the document that belongs to a class. The robustness of Similarity based Enhanced Conditional Probability MNB (SECP-MNB) is reflected in classification accuracy measurement. Show more

Keywords: Text classification, conditional probability, multinomial Naïve Bayes, machine learning, pointwise mutual information

DOI: 10.3233/JIFS-181009

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1431-1441, 2019

Authors: Daneshpayeh, Roohallah | Borumand Saeid, Arsham | Mirvakili, Saeed

Article Type: Research Article

Abstract: In this paper, we intend to introduce the notion of the radical of a filter in a pseudo BL-algebra and express its characteristics and properties. We define dense, infinitesimal, nilpotent, and unity elements in a pseudo BL-algebra, and then, investigate the relationship between these elements and the radical in a pseudo BL-algebra. Our study revealed significant results in this regard.

Keywords: Pseudo BL-algebra, (Prime, Maximal) filter, Radical, (Dense, Infinitesimal, Nilpotent, Unity) element

DOI: 10.3233/JIFS-181039

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1443-1454, 2019

Authors: Yuguang, Zhong | Fan, Yang | Feng, Liu

Article Type: Research Article

Abstract: A new artificial bee colony algorithm called modified artificial bee colony algorithm (MABC) is presented to solve the multi-objective fuzzy flexible job-shop scheduling problem (MFFJSP) in this paper. The objectives of MFFJSP are to minimize the maximum fuzzy completion time (fuzzy makespan), maximize the weighted agreement index and minimize the maximum fuzzy machine workload. The three-point satisfaction-degree model is adopted to calculate the agreement index and this model can indicate the degree of satisfaction between the due date and the processing time. An effective local search operator based on variable neighborhood search (VNS) and crossover operator are embedded in this …algorithm for obtaining good searching performance. In order to make the novel algorithm valid, we texted it, five benchmark instances and a practical case for the sake of effectiveness. Then, the performance of the proposed MABC has been compared with other existing algorithms to prove the superiority of this algorithm. In the end, the Taguchi method is used to investigate the impact of three key parameters from the MABC. Show more

Keywords: Artificial bee colony algorithm, agreement index, variable neighborhood search, multi-objective fuzzy flexible job-shop scheduling problem

DOI: 10.3233/JIFS-181152

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1455-1473, 2019

Authors: Wang, Pei | Huang, Dan | Li, Zhaowen

Article Type: Research Article

Abstract: An information system as a database that represents relationships between objects and attributes is an important model in the field of artificial intelligence. A three-source information system of this paper is an information system where there exist three data: categorical, boolean and set-valued data. This paper explores uncertainty measurement for this kind of information system. The concept of a three-source information system is first described by means of set matrices. Then, information structures in a three-source information system are presented and relationships between information structures are studied from the two aspects of dependence and separation. Next, properties of information structures …in a three-source information system are given by using inclusion degree. Finally, as an application for information structures, uncertainty measurement for a three-source information system are investigated by means of its information structures. These results will be helpful for understanding the essence of uncertainty in a three-source information system. Show more

Keywords: Three-source information system, information structure, dependence, inclusion degree, entropy, uncertainty, measurement

DOI: 10.3233/JIFS-181199

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1475-1490, 2019

Authors: Karaşan, Ali | Boltürk, Eda | Kahraman, Cengiz

Article Type: Research Article

Abstract: Combinative Distance-based Assessment (CODAS) method aims at selecting the best alternative having the largest distance to the negative-ideal point based on the Euclidean distance as the primary and the Taxicab distance as the secondary measure. Uncertainty is generally an unavoidable issue in real life problems, which can be tackled by various approaches that may be stochastic or fuzzy. Neutrosophic sets theory is an ultimate extension of ordinary fuzzy sets and neutrosophic sets are the superset of intuitionistic fuzzy sets. This paper develops a novel interval-valued neutrosophic CODAS method and presents comparative analyses with crisp and ordinary fuzzy CODAS methods. Together …with comparative analyses, a sensitivity analysis is also given for the selection problem among wind energy plant locations. Show more

Keywords: CODAS, interval-valued neutrosophic fuzzy, renewable energy, decision making, location selection

DOI: 10.3233/JIFS-181255

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1491-1504, 2019

Authors: Zhang, Leibao | Fan, Yanli | Zhang, Wenyu | Zhang, Shuai | Yu, Dejian | Zhang, Shuai

Article Type: Research Article

Abstract:  Quantitative methods for determining the quality of scientific publications evolved gradually from popularity methods to prestige methods. However, existing methods have some drawbacks, such as inability to account for important factors and mutual reinforcement between different entities, and limitation of using novel information techniques like artificial intelligence (AI) methods. This study proposes an intelligent time-aware mutual reinforcement ranking (TAMRR) model that accounts for mutual reinforcement, and temporal factors, such as the time of citation, to measure the prestige of scientific papers. The method also considers the distribution of the co-authors’ contributions, which indicates the credit allocation of citations. Moreover, mutual …reinforcement which indicates interactive impact between different entities by means of the extension of an AI algorithm, i.e., Hyperlink-Induced Topics Search (HITS) algorithm, is adopted to further explore the interactions of papers, journals and authors. Another AI algorithm, i.e., PageRank, is also enhanced to measure the prestige of papers, journals, and authors in citation networks, which are then used as the inputs to the modified HITS. Experiments on temporal factors and heterogeneous networks reveal that these factors are likely to be informative in prestige measurements. Analysis of correlations suggests that our proposed intelligent ranking method is reasonable. This study offers an intelligent method for researchers, authors, and entrepreneurs to quantify the importance of scientific papers and the conclusions are likely to be of importance for researchers in both the academic and enterprise domains. Show more

Keywords: Scientific prestige of papers, artificial intelligence, citation networks, time-aware, PageRank, HITS, mutual reinforcement

DOI: 10.3233/JIFS-181438

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1505-1519, 2019

Authors: Ji, Jinchao | Chen, Yongbing | Feng, Guozhong | Zhao, Xiaowei | He, Fei

Article Type: Research Article

Abstract: Data objects with both numeric and categorical attributes are prevalent in many real-world applications. However, most of the partitional clustering algorithms dealing with such data may trap into local optima. To further promote the performance, a novel clustering algorithm, called ABC-K-Prototypes (Artificial Bee Colony clustering based on K-Prototypes), is presented on the basis of the K-Prototypes algorithm, the search strategy of the artificial bee colony, and the chaos theory. In the presented approach, the one-step k-prototypes procedure is first given, and then this procedure is combined with the search strategy of the artificial bee colony to address the mixed numeric …and categorical data. In the search process of scout bees, the chaotic map is utilized to generate chaotic sequences for substituting the random numbers. To accelerate the convergence of the ABC-K-Prototypes algorithm, the multi-source search is adopted in the search process of scout bees. Finally, the performance of the ABC-K-Prototypes algorithm is demonstrated by a series of experiments on mixed numeric and categorical data in comparison with that of the other popular algorithms. Show more

Keywords: Clustering, numeric attribute, categorical attribute, mixed data, artificial bee colony

DOI: 10.3233/JIFS-18146

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1521-1530, 2019

Authors: Kanwal, Shazia | Azam, Akbar

Article Type: Research Article

Abstract: The main focus of the present paper is to establish a common coincidence point theorem for a pair of L -fuzzy mappings and a non-fuzzy mapping under a generalized φ -contractive condition on a metric space in association with the Hausdorff distance on a class of L -fuzzy sets. A generalized common coincidence point theorem with the d L ∞ metric on 1- cuts of L -fuzzy sets is also obtained, which generalizes many recent results in literature. As applications, an analogous coincidence point theorem for crisp mappings is achieved to study some existence …theorems of solution for a class of nonlinear integral equations. Even as direct application of coincidence of L - fuzzy mappings, an implicit function theorem is established which can be used to find an explicit restriction of a given implicit relation. For verification and elaboration of our results some interesting and non-trivial examples are presented as well. Show more

Keywords: Coincidence point, implicit function theorem, L-fuzzy mapping, integral equation

DOI: 10.3233/JIFS-181754

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1531-1545, 2019

Authors: Wahid, Fazli | Alsaedi, Ahmed Khalaf Zager | Ghazali, Rozaida

Article Type: Research Article

Abstract: Firefly algorithm (FA) is one of the most recently introduced stochastic, nature-inspired, meta-heuristic approaches that have seen countless applications in solving various types of optimization problems. The major source of inspiration leading to the development of FA is the phenomenon of light emission by fireflies that attract other fireflies for their potential mates. All the fireflies are unisexual and attract each other according to the intensities of their flash lights. Higher the flash light intensity, higher is the power of attraction and vice versa. For solving optimization problem, the brightness of flash is associated with the fitness function to be …optimized. The firefly algorithm is advantageous over other optimization algorithms due to its flexibility, simplicity, robustness and easy implementation but a major drawback associated with the standard FA applied for solving different optimization problems is poor exploitation capability when the randomization factor is taken large during firefly changing position. This poor exploitation may lead to skip the most optimal solution even present in the vicinities of the current solution which results in poor local convergence rate that ultimately degrades the solution quality. To overcome this problem, the crossover operator of genetic algorithm (GA) is incorporated into firefly position changing stage that results in better exploitation capability which improves the local convergence rate resulting in better solution quality. The performance of the proposed approach has been compared with standard FA, GA, artificial bee colony (ABC) and ant colony optimization (ACO) algorithms in terms of convergence rate for various types of minimization and maximization optimization functions. Show more

Keywords: Firefly algorithm, hybrid firefly algorithm, optimization functions, faster convergence rate, better solution quality, crossover operator

DOI: 10.3233/JIFS-181936

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1547-1562, 2019

Authors: Senapati, Tapan | Jun, Young Bae | Shum, K.P.

Article Type: Research Article

Abstract: In this paper, we first introduce the concept of cubic intuitionistic sets in B -algebras. We consider the cubic intuitionistic subalgebras, the cubic intuitionistic ideals and also the cubic intuitionistic closed ideals of a B -algebra. Further properties and relationships of the above algebraic structures are discussed and investigated.

Keywords: B-algebra, cubic intuitionistic subalgebra, cubic intuitionistic ideal, closed cubic intuitionistic ideal

DOI: 10.3233/JIFS-18518

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1563-1571, 2019

Authors: Martínez-Villaseñor, Lourdes | Ponce, Hiram | González-Mendoza, Miguel

Article Type: Research Article

Abstract: Schema matching is used for data integration, mediation, and conversion between heterogeneous sources. Nevertheless, mappings identified with an automatic or semi-automatic process can never be completely certain. In a process of concept alignment, it is necessary to manage uncertainty. In this paper, we present a fuzzy-based process of concept alignment for uncertainty management in schema matching problem. The ultimate goal is to enable interoperability between different electronic health records. Data integration of health information is done through the mediation of our ubiquitous user model framework. Results look promising and fuzzy theory proved to be a good fit for modeling uncertain …schema matching. Fuzzy combined similarities can handle uncertainty in the schema matching process to enable interoperability between electronic health records improving the quality of mappings and diminishing the human error to verify the mappings. Show more

Keywords: Fuzzy aggregation, electronic health records, schema matching, uncertainty, ubiquitous interoperability

DOI: 10.3233/JIFS-18526

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1573-1585, 2019

Authors: Ton-That, An H. | Cao, Nhan T.

Article Type: Research Article

Abstract:  This paper introduces a fuzzy approach for classifying speech emotions in which a fuzzy inference system based on fuzzy associative memory (FAM-FIS) is used for recognizing speech emotions. Experiments on two databases of emotion speech Emo-DB in German and SAVEE in English, and feature of Mel-Frequency Cepstral Coefficients (MFCC) showed that the accuracy rates of the fuzzy inference system are better than that of Bayes and Support Vector Machine (SVM) on same kind of features and databases. Namely, with MFCC feature and 19 dimensions, Emo-DB is 74.31% and SAVEE is 97.29%.

Keywords: Speech emotion recognition, fuzzy inference systems, fuzzy associative memory, pattern recognition, fuzzy approach

DOI: 10.3233/JIFS-18594

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1587-1597, 2019

Authors: Wang, Jun | Zhang, Runtong | Zhu, Xiaomin | Zhou, Zhen | Shang, Xiaopu | Li, Weizi

Article Type: Research Article

Abstract: Recently proposed q -rung orthopair fuzzy set (q -ROFS) is a powerful and effective tool to describe fuzziness, uncertainty and vagueness. The prominent feature of q -ROFS is that the sum and square sum of membership and non-membership degrees are allowed to be greater than one with the sum of q th power of the membership degree and q th power of the non-membership degree is less than or equal to one. This characteristic makes q -ROFS more powerful and useful than intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS). The aim of this paper is to develop some …aggregation operators for fusing q -rung orthopair fuzzy information. As the Muirhead mean (MM) is considered as a useful aggregation technology which can capture interrelationships among all aggregated arguments, we extend the MM to q -rung orthopair fuzzy environment and propose a family of q -rung orthopair fuzzy Muirhead mean operators. Moreover, we investigate some desirable properties and special cases of the proposed operators. Further, we apply the proposed operators to solve multi-attribute group decision making (MAGDM) problems. Finally, a numerical instance as well as some comparative analysis are provided to demonstrate the validity and superiorities of the proposed method. Show more

Keywords: q-rung orthopair fuzzy set, Muirhead mean, q-rung orthopair fuzzy Muirhead mean, Multi-attribute group decision making

DOI: 10.3233/JIFS-18607

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1599-1614, 2019

Authors: Xu, Yi | Hu, Shanzhong

Article Type: Research Article

Abstract: Classical rough set theory is based on the conventional indiscernibility relation. It is not suitable for analyzing incomplete information. Some successful extended rough set models based on different non-equivalence relations have been proposed. The data-driven valued tolerance relation is such a non-equivalence relation. However, when predicting the unknown attribute value of an object, it regards the frequency of an attribute value approximately as the probability of appearance of this value, without considering the effects of other known attribute values of this object on predicting the unknown attribute value. In this paper, considering both the frequency of the known attribute values …and the influence weight to predict the unknown attribute values. Modified data-driven valued tolerance relation (MDVT) is defined. On this basis, an extended rough set model based on modified data-driven valued tolerance relation is proposed. Some properties of the new model are analyzed. Experimental results show that the MDVT can get better classification results than other generalized indiscernibility relations. Show more

Keywords: rough set, incomplete information system, valued toleration relation, influence weight

DOI: 10.3233/JIFS-18658

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1615-1625, 2019

Authors: Perez, Ramón | Vásquez, Carmen | Viloria, Amelec

Article Type: Research Article

Abstract: The exact location of faults in the electrical distribution systems is a problem that affects not only the users, but also the companies providing the electric service. With greater time invested in this period, the losses due to unbilled energy and inconvenience to users increases, thus decreasing the quality of service. One of the causes of the growth in time is the misunderstanding that might exist in the localization systems that act under the presence of distributed generation sources in the distribution networks. In this sense, the present research develops an intelligent diagnosis of faults in distribution systems with distributed …generation. Three stages are defined: Identification of the type of fault, the location of the zone, and the exact point of fault. A mixed method based on artificial intelligence and mathematical algorithms is applied. Eleven different types of faults that can occur in a distribution system are considered with six different values of fault resistances ranging from 5 to 30 Ω . The errors found are less than 2% in the location of the fault point with robustness to variations in the load and the penetration of distributed generation. Show more

Keywords: Fault identification, fault location, electric distribution systems, distributed generation, accuracy

DOI: 10.3233/JIFS-18807

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1627-1637, 2019

Authors: Basjaruddin, Noor Cholis | Sutjiredjeki, Ediana | Akbar, Hilman Wahyu Caesar

Article Type: Research Article

Abstract: An electronic glove is a sensor-equipped glove for detecting changes in the motion or the bending of a finger. The function of an electronic glove can replace the function of a remote control, especially for people with disabilities. In this study, we designed and realized a glove equipped with a flex sensor on each finger to detect the bending of the finger and used a mobile robot as the plant of the electronic glove. The system works by detecting finger-bending in the right hand and processing it into the commands stop, forward, backward, forward left and forward right. The flex …sensor resistance value caused by the finger-bending is used as an input for fuzzy logic control and produces the output to control the mobile robot. The flex sensor is capable of varying values between normal conditions of 27.2 kΩ up to a maximum of 46 kΩ . The lowest speed of the mobile robot is 0.75 m/s, with a maximum speed of 2.17 m/s. The commands from the electronic glove are sent to the mobile robot wirelessly with a maximum distance between electronic glove and the mobile robot of 200 m in an obstacle-free situation. Based on the experimental results, 100% of the orders were executed according to the design. The use of fuzzy logic ensures that every bending change is accompanied by a change in speed, so that mobile robot movements become smoother. Show more

Keywords: Electronic glove, flex sensor, fuzzy logic, mobile robot

DOI: 10.3233/JIFS-18968

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1639-1645, 2019

Authors: Shen, Kai-Wen | Wang, Jian-Qiang | Wang, Tie-Li

Article Type: Research Article

Abstract: The Z-number has become a new representation of evaluation information because of its superiority in describing reliability measure. Current studies focuses mainly on the unidimensional Z-number like Z = (about 25 min, usually). Studies on multidimensional cases have not been reported. However, because people often describe things from various aspects, using only one aspect of information to describe uncertain events fully is difficult. In this paper, we propose the concept of the multidimensional Z-number, such as ((about 20 miles, about 25 min), usually) to handle complex information. For this purpose, we first define the basic operations of the multidimensional Z-number. …We then propose a feasible comparison method. The effectiveness of the proposed method is demonstrated by a series of numerical examples. Show more

Keywords: Z-number, multidimensional Z-number, operations of probable events, multi-criteria decision-making

DOI: 10.3233/JIFS-18927

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1647-1661, 2019

Authors: You, Cuilian | Zhang, Ruili | Su, Ke

Article Type: Research Article

Abstract: Fuzzy variable is a function from a credibility space to the set of real numbers. The convergence of fuzzy variables is important component of credibility theory, which can be applied into real problems in engineering and mathematical finance. Inspired by these, we will discuss some properties of convergence for fuzzy variables. At the same time, the conditions of convergence almost surely, convergence in credibility and convergence in mean for fuzzy variables will be given.

Keywords: Fuzzy variable, credibility measure, credibility theory, convergence theorem

DOI: 10.3233/JIFS-18986

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1663-1670, 2019