Journal of Intelligent & Fuzzy Systems - Volume 41, issue 3

Authors: Dai, Xuefeng | Wang, Jiazhi | Li, Dahui | Wang, Yanchun

Article Type: Research Article

Abstract: Multi-robot systems have many potential applications; however, the available results for coordination were based on qualitative information. Fuzzy logic reasoning has a feature of human being thinking, so a novel coordinated algorithm is proposed. The algorithm utilizes sharing sensing information of rooms and semantic robots to coordinating robots in a structured environment exploration. The approach divides all teammate robots into two classes according to robot exploration performance, and divides rooms into large, medium and small ones according to estimations of the individual areas. On the purpose of minimizing exploration time of the system, the reasoning coordination assigns large room to …good performance robot, and vice versa. A parameter update law is introduced for fuzzy membership functions. Finally, the results are validated by computer simulations for a structured environment. Show more

Keywords: Multi-robot systems, fuzzy reasoning, intelligent coordination, task assignments

DOI: 10.3233/JIFS-189682

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4203-4210, 2021

Authors: Li, Tianxu | Gong, Mingde | Hu, Kongming | Zhao, Lijuan | Zhao, Baoqiang

Article Type: Research Article

Abstract: In this paper, a novel three-degrees-of-freedom (3-DOF) parallel robot is designed, which can only move in three translational directions. It avoids the difficulty in the solution for forward kinematics of the parallel robot. The robot containing only lower pairs (P and R) has a simple mechanism. The characteristic that the parallel robot has only three translational degrees of freedom can be proved by the screw theory and the DOF can be got by the formula of calculating the DOF of space mechanism. The kinematics and workspace of the parallel robot is analyzed through calculation and simulation. In order to obtain …better servo control performance, the PMSM fuzzy controller is designed. The analysis and simulation results show that the mechanism design of the parallel robot is reasonable, and the effect of fuzzy controller is better than the ordinary PID controller. Show more

Keywords: 3-DOF, translational parallel robot, PMSM, fuzzy controller

DOI: 10.3233/JIFS-189683

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4211-4224, 2021

Authors: Zhang, Qiang | Zhang, Jiayao | Tian, Ying

Article Type: Research Article

Abstract: The performance of the pick gradually degrades under the cyclic complex load, so it is difficult to realize the state prediction, in order to be able to accurately predict the pick degradation state, this paper develops a test system for the wear degradation of pick, the method of experimental analysis and numerical simulation is adopted, Multi-signal fusion model of vibration and acoustic emission was constructed, the grey prediction and the Gamma method of Bayesian parameter updating are used to realize the application of the degenerate data, the results prove that the relative error of grey prediction under vibration signal is …only 0.45%, the relative error of the Gamma model was 0.57%, the relative error of the Gamma model under Bayesian updating was 0.22%, the three models have good prediction accuracy, the prediction error of the Gamma model under Bayesian updating is minimal. Show more

Keywords: Pick wear, pick degradation, grey prediction, gamma process

DOI: 10.3233/JIFS-189684

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4225-4235, 2021

Authors: Zheng, Leina | Wang, Junwei | Liu, Meiling | Liu, Jun | Pan, Tiejun | Xu, Haojie

Article Type: Research Article

Abstract: This paper studies intuitionistic fuzzy (IF) decision making problems using an integrated approach. Firstly, an IF induced generalized ordered weighted averaging distance (IFIGOWAD) operator is introduced, that covers numerous IF aggregations distance operators. Then, two more generalized operators named IF quasi induced OWAD (Quasi-IFIOWAD) and IF induced generalized hybrid average distance (IFIGHAD) operator are presented. Furthermore, a new method using above operators is introduced to IF decision making problem and online trade systems. Finally, two real cases are present to show the effect of the method.

Keywords: Hybrid average distance, distance measure, IOWA operator, trade systems

DOI: 10.3233/JIFS-189685

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4237-4251, 2021

Authors: Liu, Xiaomin | Liu, Haiyan | Wan, Zheng | Wang, Lifei | Chen, Qiong

Article Type: Research Article

Abstract: Water resources is an important basic energy. The determination of weights is one of the important indexes in water resources evaluation system and reasonable allocation of weights is the key to quantitative evaluation. In order to establish a scientific evaluation index system of the influence of mining disturbance on water resources for purpose of a more reliable and effective evaluation result and realizing the protection of water resources system, a comprehensive evaluation system of water resources based on PSO-AHP model is proposed in the paper. Combined with the specific geological environment characteristics of mines, this paper establishes a four-level evaluation …index system after identifying the factors affecting water resources and ecological environment. By applying the particle swarm optimization (PSO) to the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, a PSO-AHP model and then a fitness function are constructed to solve and optimize the weight values in the evaluation index system, and the calculated weight values are checked by consistency checking method. The evaluation results suggest that the index system can accurately reflect the impact of mining on water resources and water ecological environment and etc., providing certain reference value for sewage resourcing and reducing the harmful effect on environment by sewage discharge. Show more

Keywords: Water resources, ecologically vulnerable area, particle swarm optimization, analytic hierarchy process, fuzzy comprehensive evaluation method

DOI: 10.3233/JIFS-189686

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4253-4264, 2021

Authors: Diao, Lijuan | Yang, Wei | Zhu, Penghua | Cao, Gaofang | Song, Shoujun | Kong, Yang

Article Type: Research Article

Abstract: Temporal knowledge base exists on various fields. Take medical medicine field as example, diabetes is a typical chronic disease which evolves slowly. This paper starts from actual EMR data of hospitals by combination of experience and knowledge of clinical doctors. Link prediction on clinical knowledge base such as diabetic complication requires the analysis on temporal characteristic of temporal knowledge base, which is a great challenge for traditional link prediction models. This paper proposes temporal knowledge graph link prediction model based on deep learning. This model selects the TransR transformation model suitable for big data and makes entity projection in relation …space containing different semantic meanings, so as to vector the entities and complex semantic relations in graph. Then it adopts LSTM recursive neural network and adds the top-bottom relational information of the graph for sequential learning. Finally it constantly carries out deep learning through incremental calculation and LSTM recursive network to improve the accuracy of prediction. The incremental LSTM model highlights the hidden semantic and clinical temporal information and effectively utilizes sequential learning to mining forward-backward dependent information. It compensates the deficiency of lower prediction accuracy on timely knowledge graph caused by the traditional link prediction models. Finally, it is proved that the new model has better performance over temporal knowledge graph link prediction. Show more

Keywords: Temporal knowledge graph, knowledge graph link prediction, translation model TransR, long short term memory (LSTM) networks, incremental learning, deep learning

DOI: 10.3233/JIFS-189687

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4265-4274, 2021

Authors: Ji, Wenjiang | Cheng, Chen | Xie, Guo | Zhu, Lei | Wang, Yichuan | Pan, Long | Hei, Xinhong

Article Type: Research Article

Abstract: With the development of intelligent transportation system, the maintenance of railway turnout is an essential daily task which was required to be efficiency and automatically. This paper presents an intelligent diagnosis method based on deep learning curve segmentation and the Support Vector Machine. Firstly, we studied the curve segmentation approach of the real-time monitoring power data collected form turnout, for which is an essential step and do a great help to improve the diagnose accuracy. Then based on the well pre-processed data sets, the SVM algorithm was applied to classify the samples and report the health states of the turnout …which under testing. At last, the experiments were taken on the power data curve collected from the real turnouts, during which we compared the new diagnose method with conventional ones, and the results showed that the diagnose accuracy of proposed method can averaged to 98.5%. Compared with traditional SVM based frameworks, the proposed diagnosis method dramatically improves the accuracy which is more suitable for railway turnout. Show more

Keywords: Railway turnouts, intelligent fault diagnosis, curve segmentation, SVM

DOI: 10.3233/JIFS-189688

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4275-4285, 2021

Authors: Liu, Yanqi | Zhang, Li | Xu, Zhenghua | Liu, Xueyang

Article Type: Research Article

Abstract: This essay focus on the situation when the operator of the main control room can not handle the accident in time or make wrong judgment under accident condition in nuclear power plant, which may lead to the occurrence of major accidents or even more accidents concurrently. An intelligent fuzzy diagnosis model based on Grey Relational degree is constructed in this paper, by establishing accident-state correlation matrix and accident-state probability matrix, defining the vector of information weights for accident characteristic vector and monitoring result vector with linear transform, using Grey Relation to measure the relevance degree between monitoring result vector and …accident characteristic vector, Searching for suspected accidents approaching to real solutions in iterative recursive algorithms, realizing automatic fuzzy diagnosis of multiple accidents. The results of simulation experiments of LOCA accidents indicate that the model and algorithm can diagnose various common accidents accurately and rapidly in complex nuclear power systems, providing strategy for operator’s diagnosis decision. Show more

Keywords: Human reliability, accident conditions, diagnosis model, correlation matrix, approaching to

DOI: 10.3233/JIFS-189689

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4287-4294, 2021

Authors: Tang, Yongwei | Hao, Huijuan | Zhou, Jun | Lin, Yuexiang | Dong, Zhenzhen

Article Type: Research Article

Abstract: AGV (Automated Guided Vehicle) technology has attracted increasing attention. Precise control of AGV position and attitude information in complex operating environment is a key part of smart factories. With outdoor AGV as a platform, this study uses BDS/INS combined navigation system combining Beidou positioning system and inertial navigation system and takes the velocity and position difference between BDS and INS as a model. An integrated navigation method is proposed to improve bee colony algorithm and optimize the BP neural network-assisted Kalman filtering to achieve accurate positioning. Moreover, the optimization of BP neural network navigation using INS navigation, network-assisted navigation and …bee colony algorithm is simulated. Results demonstrate that the integrated navigation algorithm has effectiveness and feasibility, and can solve the problems of BDS misalignment and large INS navigation error in complex environments. Show more

Keywords: AGV, BDS/INS integrated navigation, Kalman filter, neural network, bee colony algorithm

DOI: 10.3233/JIFS-189690

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4295-4306, 2021

Authors: Leng, Xiaokun | Piao, Songhao | Chang, Lin | He, Zhicheng | Zhu, Zheng

Article Type: Research Article

Abstract: In recent years humanoid robots have been widely used in toy, performance, education and other service industries, but most biped robots walk slowly and have poor stability. The reason is that the driver parameters of the robot cannot properly match the walking gait algorithm, and the insufficient performance of the robot driver leads to the poor motion capability of the robot. In this paper, the optimization design process of biped robot parameters is studied and expounded, and its motion capability is improved by optimizing the driving parameters of the robot. Firstly, the contradiction between walking speed, stability and driver performance …of biped robot is analysed. The performance evaluation functions of the three are further established, and the optimal parameter design to a certain extent is realized based on the multi-objective optimization method. Finally, combining with the physical simulation engine, the design parameters are simulated and checked, and the robot design process is completed through the guidance of simulation results. Show more

Keywords: Humanoid robot, inverted pendulum, multi objective optimization, constraint

DOI: 10.3233/JIFS-189691

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4307-4318, 2021