Journal of Intelligent & Fuzzy Systems - Volume 27, issue 2

Authors: Momeni, Ehsan | Tavana, Madjid | Mirzagoltabar, Hadi | Mirhedayatian, Seyed Mostafa

Article Type: Research Article

Abstract: Supply chain performance evaluation problems are complex problems with multiple criteria and multi-layered internal linking activities. Data Envelopment Analysis (DEA) has been used to evaluate the relative performance of organizational units called Decision Making Units (DMUs). However, the conventional DEA models cannot take into account the complex nature of supply chains with internal linking activities. Although network DEA models are used to address this drawback, most of them use Farrell radial measures of efficiency and ignore input slacks and/or output slacks and are not suitable for measuring efficiencies when inputs and outputs may change non-proportionally. In response, network DEA models …using Slacks-Based Measures (SBMs) of efficiency are used when inputs and outputs are non-radial. Furthermore, crisp input and output data are fundamentally indispensable in a conventional DEA evaluation process. However, the input and output data in real-world problems are often imprecise or ambiguous. Fuzzy DEA models are used to address the impreciseness and ambiguity associated with the input and output data. Finally, conventional supply chain performance evaluation models primarily consider forward logistics dealing with the flow of products from manufacturing to customers. We propose a new Network SBM (NSBM) model in the fuzzy environment. The proposed fuzzy NSBM model considers non-radial measures of efficiency in a unified framework for evaluating performance of supply chain networks with forward and reverse logistics. A case study is presented to demonstrate the applicability of the proposed fuzzy NSBM model and exhibit the efficacy of the procedures in evaluating the performance of a supply chain in the semiconductor industry. Show more

Keywords: Data envelopment analysis, network slacks-based measure, supply chain, reverse logistics

DOI: 10.3233/IFS-131037

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 793-804, 2014

Authors: Pang, Bin

Article Type: Research Article

Abstract: In this paper, we introduce L-continuity degree, L-openness degree, L-closedness degree of mappings between L-fuzzifying topological spaces. Moreover, we show that most of elementary results related to continuous mappings, open mappings, and closed mappings in general topology can be extended to L-fuzzifying topological spaces by means of the graded concepts.

Keywords: L-fuzzifying topological space, L-continuity degree, L-openness degree, L-closedness degree

DOI: 10.3233/IFS-131038

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 805-816, 2014

Authors: Fei, Juntao | Xin, Mingyuan

Article Type: Research Article

Abstract: In this paper, a backstepping sliding mode control incorporating the adaptive fuzzy logic controller is proposed to achieve robust tracking performance for the Micro Electro Mechanical systems (MEMS) triaxial gyroscope. An adaptive fuzzy backstepping controller that can compensate the system nonlinearities is incorporated into the sliding mode control scheme in the Lyapunov framework. An adaptive fuzzy controller is used to learn the unknown upper bound of model uncertainties and external disturbances. First, a backstepping sliding mode controller is designed to compensate the model uncertainties and external disturbances. Then, an adaptive fuzzy control approach is developed to estimate the upper bound …of the lumped uncertainty in the configuration of backstepping sliding mode control. Numerical simulation is provided to verify the effectiveness of the proposed scheme. Show more

Keywords: MEMS triaxial gyroscope, backstepping sliding mode control, adaptive fuzzy control

DOI: 10.3233/IFS-131040

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 817-826, 2014

Authors: Ji, Wen

Article Type: Research Article

Abstract: This paper deals with the problem of the uncertainty of stroke patient. Using the rehabilitant robot can achieve the rehabilitation training for stroke patients. However, the process of rehabilitation training has the uncertainty for patients' condition. So the interval type-2 fuzzy reasoning (IT2FR) model of rehabilitation training for stroke was proposed, which is used a novel type reduction method. Experimental results show that the model can make a rehabilitation training program effectively and improve rehabilitation efficiency.

Keywords: Interval type-2 fuzzy reasoning (IT2FR), type reduction, uncertainty, rehabilitation training, stroke

DOI: 10.3233/IFS-131041

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 827-837, 2014

Authors: Zhang, Yi

Article Type: Research Article

Abstract: We investigate the decision making problems with hesitant fuzzy information. Firstly, some operational laws of hesitant fuzzy elements and score function of hesitant fuzzy elements are introduced. Then, we have developed two induced generalized hesitant fuzzy aggregation operators: induced generalized hesitant fuzzy choquet ordered averaging (IGHFCOA) operator and induced generalized hesitant fuzzy choquet ordered geometric (IGHFCOG) operator. The prominent characteristic of the operators is that they can not only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the IGHFCOA and IGHFCOG operators to …decision making problems for five kinds of Protein's nutritional assessment with hesitant fuzzy information. Finally an illustrative example has been given to show the developed method. Show more

Keywords: Decision making, hesitant fuzzy elements, induced generalized hesitant fuzzy choquet ordered averaging (IGHFCOA) operator, induced generalized hesitant fuzzy choquet ordered geometric (IGHFCOG) operator, protein's nutritional assessment

DOI: 10.3233/IFS-131042

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 839-847, 2014

Authors: Khalid, Asma | Awais, Mian Muhammad

Article Type: Research Article

Abstract: The focus of this paper is comparison of ranking methods. Several methods have been introduced in literature to rank relations and it is noticed that different methods lead to different and possibly contradictory outcomes. To justify why some methods are better than others, a performance parameter needs to be established. We restrict ourselves to the class of Incomplete fuzzy and multiplicative preference relations that can be completed by methods defined by Khalid and Awais [12] and result in additive transitive and Saaty's consistent multiplicative preference relations. For the purpose of ranking, methods are proposed and compared pairwise with the famous …fuzzy Borda rule. Also, fuzzy Borda rule for multiplicative preference relations is introduced. To appreciate the most suitable ranking method, we set the performance parameter to be the number of ties produced by each of these methods. So the best rule to rank additive transitive and Saaty's consistent relations is the one producing least number of ties. We prove some useful properties withheld by the considered relations, which helps conclude that these ranking methods are equally efficient for such relations since they produce equal number of ties in the same alternatives. We identify the reason of reaching ties and propose a solution. Show more

Keywords: Incomplete preference relations, ranking methods, saaty's consistency, additive consistency

DOI: 10.3233/IFS-131043

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 849-861, 2014

Authors: Haider, Aftab Ali | Nadeem, Aamer | Rafiq, Shahzad

Article Type: Research Article

Abstract: Test suite optimization is mandatory activity to cope with the limited resources and economical constraints. Aside from conventional optimization approaches, computational intelligence based approaches have also focused this research area and evolutionary algorithms have been successful to remarkably reduce the test suite size. These approaches classify the decision space by generating an optimal front called Pareto front. Despite the tremendous research work on interpretation of Pareto front, its visualization and usefulness for higher objectives is a challenging task. Pareto fronts contain multiple suitable solutions that can be converged using heuristics to a reduced set of possible solutions. We have proposed …fuzzy based optimization approach in combination with all path coverage criterion to safely reduce a test suite to a single solution. We have initially implemented our proposed work on a testing problem having three objectives; however, it is scalable to any finite number of optimization objectives. We validated our approach by comparing it with evolutionary algorithms. We found that our approach significantly reduces the test suite to a precise test suite. We have concluded that our approach is capable to be automated and provide ‘on the fly’ optimal solution. Show more

Keywords: Precise reduction, test suite optimization, regression testing, computational intelligence, fuzzy logic

DOI: 10.3233/IFS-131045

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 863-875, 2014

Authors: Maksimović, Mirjana | Vujović, Vladimir | Milošević, Vladimir

Article Type: Research Article

Abstract: This paper presents a survey of applications of fuzzy logic in real Wireless Sensor Networks (WSNs). The use of fuzzy logic in WSNs is shown to be a promising technique since it allows combining and evaluating diverse parameters in an efficient manner. Fuzzy logic is a good approach due to the execution requirements can be easily supported by sensor nodes, while it is able to improve the overall network performance. The potential of fuzzy logic goes beyond traditional systems and can be used in many research fields (statistics, quality control, optimization techniques ... ), allowing multidisciplinary approaches and performance improvements. …In WSNs, fuzzy logic has been used to improve decision-making, reduce resource consumption, and generally increase performance through efficient deployment, localization, clustering and cluster head election, routing, data aggregation, security, etc. Show more

Keywords: Fuzzy logic approach, wireless sensor networks, crucial WSN design factors, constraints, survey

DOI: 10.3233/IFS-131046

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 877-890, 2014

Authors: Senthilkumar, S. | Vijayan, S.

Article Type: Research Article

Abstract: This paper presents a real-time implementation of an improved emotional controller for induction motor (IM) drives. We have improved the design of Brain Emotional Learning Based Intelligent Controller (BELBIC) by using the fuzzy technique in calculating sensory input. The proposed controller is called Brain Emotional Learning and Fuzzy Based Intelligent Controller (BELFBIC) For the first time, Brain Emotional Learning and Fuzzy Based Intelligent Controller is used for Space Vector Pulse Width Modulation inverter fed induction motor V/f speed control. V/f control is simple and relatively easy to implement. It provides motor performance, which is adequate in most applications. A comparative …analysis with PID controller and Fuzzy controller is also carried out. The simulation is carried out by Matlab / Simulink. The Proposed controller is successfully implemented in real time using a Digital Signal Controller (dsPIC30F2010) based three-phase 0.5 HP laboratory squirrel-cage IM. Show more

Keywords: Emotional learning, induction motor (IM), intelligent controller, BELFBIC, PID, fuzzy control, V/f speed control

DOI: 10.3233/IFS-131047

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 891-900, 2014

Authors: Merigó, José M. | Peris-Ortiz, Marta | Palacios-Marqués, Daniel

Article Type: Research Article

Abstract: A new framework for the entrepreneurial group decision support systems is presented when the information is uncertain but can be assessed with fuzzy numbers. The paper develops a new aggregation operator that uses the weighted average and the ordered weighted averaging operator in the same formulation considering the importance of each concept in the analysis. The use of order inducing variables in the reordering step of the aggregation process allows dealing with complex attitudinal characters that may include variables such as time pressure and psychological factors. The applicability of this new approach in decision-making problems is also studied. It offers …the possibility of developing a wide range of methods including a unified framework for decision-making under risk and uncertainty and decision processes ex-ante and ex-post. A fuzzy multi-person decision making approach under risk and uncertainty ex-ante is developed and implemented in an entrepreneurial decision-making problem concerning an entrepreneur who wants to create a new company and is looking for the most appropriate market. Show more

Keywords: Entrepreneurial group decision making, fuzzy numbers, uncertainty, aggregation operators

DOI: 10.3233/IFS-131048

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 2, pp. 901-912, 2014