Journal of Intelligent & Fuzzy Systems - Volume 33, issue 2

Authors: Ku Khalif, Ku Muhammad Naim | Gegov, Alexander | Abu Bakar, Ahmad Syafadhli

Article Type: Research Article

Abstract: This paper presents a hybrid fuzzy multi criteria decision making model for z-numbers using intuitive vectorial centroid. There are two novelty aspects discussed: 1) development of intuitive vectorial centroid defuzzification and 2) development of hybrid fuzzy multi criteria decision making model based on consistent fuzzy preference relations and fuzzy technique for order performance by similarity to ideal solution for z-numbers. The latter are taken into consideration due to their capability of capturing human knowledge and extensive use in decision making problems under linguistic uncertainty. Fuzziness is not sufficient enough when dealing with real information and a degree of reliability of …the information is very critical. The proposed combination of z-numbers with multi criteria decision making techniques facilitates the use of fuzzy linguistic aspects of human intuition in decision making. The proposed model is applied to a staff recruitment case study. Show more

Keywords: Multi criteria decision making, consistent fuzzy preference relations, fuzzy TOPSIS, z-numbers, intuitive vectorial centroid, human intuition

DOI: 10.3233/JIFS-161973

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 791-805, 2017

Authors: Lin, Chih-Min | Le, Tien-Loc

Article Type: Research Article

Abstract: This paper presents a wavelet cerebellar model articulation controller (WCMAC) based adaptive control design for nonlinear systems using a particle swarm optimization (PSO). The WCMAC is the main tracking controller and a robust compensation controller is used to compensate for the residual error. In the WCMAC, the adaptive laws of controller parameters are derived using the gradient descent method. However, the initial values of learning rates of these adaptive laws are very important and they affect much to the performance of control systems. In this paper, the particle swarm optimization algorithm is applied to find the optimal learning rates of …the parameter adaptation laws. To show the effectiveness of the proposed approach, numerical simulations of magnetic levitation system and inverted pendulum are provided to confirm the applications of the proposed PSO-WCMAC-based control system. The superiority of the proposed control scheme is also evaluated by quantitative comparison with other control schemes. Show more

Keywords: Wavelet cerebellar model articulation controller, particle swarm optimization, magnetic levitation system, inverted pendulum

DOI: 10.3233/JIFS-161999

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 807-818, 2017

Authors: Guan, Xuechong

Article Type: Research Article

Abstract: The concept of a central soft set related with some common decision making problems in real life is introduced in this paper. Some basic operations on central soft sets and theirs properties such as distributive law and associative law are given. The study also shows that some classic operations between soft sets can be obtained by central soft sets with selecting different central sets. In the part of application, the concepts of an evaluation system for a parameter set and desired objects of a central soft set are initiated. An algorithm is presented to solve such decision making problems.

Keywords: Central soft set, soft set, intersection, union, evaluation system

DOI: 10.3233/JIFS-162011

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 819-827, 2017

Authors: Xu, Changjin

Article Type: Research Article

Abstract: In this paper, a class of fuzzy cellular neural networks with proportional delays are considered. Applying the differential inequality theory and constructing Lyapunov functional, some sufficient criteria which ensure the global exponential periodicity of fuzzy cellular neural networks with proportional delays are established. Numerical simulations are carried out to illustrate our theoretical predictions. Compared with the previous works, the main contributions lies in: (1) it is the first to deal with the global exponential periodicity of fuzzy cellular neural networks with proportional delays; (2) some new sufficient criteria to ensure the global exponential periodicity of fuzzy cellular neural networks with …proportional delays are established; (3) the obtained results of this paper are new and complement some existing ones. Show more

Keywords: Fuzzy cellular neural networks, global exponential periodicity, proportional delay, nonlinear transformation

DOI: 10.3233/JIFS-162027

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 829-839, 2017

Authors: Umesh Sundar, R. | Mohan Kumar, G.

Article Type: Research Article

Abstract: Fuzzy Quality Function Deployment (FQFD) is a type of probability logic system which deals with the analysis of values ranging from approximate, fixed and exact values, with respect to the traditional QFD theory. The 30TR FRP (TR-Ton of Refrigeration, FRP- Fibre Reinforced Plastic) cooling tower has lot of design defects which makes with this an excellent case study by using FQFD. The major design defects are found out to be crucial and need to be rectified. FQFD is the best suitable tool to evaluate and analyze the design characteristics problems. In this article the FQFD is implemented to identify the …design characteristics that are to be modified and structural analysis is done by using ANSYS software. The first three higher value design characteristic defects are concentrated to find solution to the identified problem and improvement is achieved with the modified fibre reinforced plastic cooling tower (CT) by increasing the efficiency of 30 TR FRP cooling tower to 17%. Show more

Keywords: Fuzzy quality function deployment, cooling tower, customer requirements, technical requirements, rank, static and dynamic analysis

DOI: 10.3233/JIFS-162038

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 841-851, 2017

Authors: Sheng, Yuhong | Gao, Rong | Zhang, Zhiqiang

Article Type: Research Article

Abstract: The partial differential equation has been vastly applied to analyzing the problems in the life sciences. However, these types of partial differential equation models are mostly deterministic. As we know, the real life is full of uncertain factors, hence the above deterministic partial differential equations are not enough to handle the problems with uncertain noises. For modelling these problems more rationally, we present an uncertain partial differential equation model involving age structure of population in this paper, and make a species analysis with it.

Keywords: Uncertain population model, uncertainty theory, uncertain differential equation

DOI: 10.3233/JIFS-162080

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 853-858, 2017

Authors: Samanlioglu, Funda | Ayağ, Zeki

Article Type: Research Article

Abstract: Solar energy, produced through a solar power plant, is a freely available, non-polluting, renewable source of energy that reduces the greenhouse effect. Selecting the best location for a solar power plant among several location alternatives is a complicated multiple criteria decision making (MCDM) problem since several potentially conflicting quantitative and qualitative criteria needs to be taken into consideration. In this paper, of the most commonly used MCDM methods in literature; the Analytic Hierarchy Process (AHP) and PROMETHEE II (Preference Ranking Organization Method for Enriching Evaluations) are integrated with fuzzy logic, called F-AHP and F-PROMETHEE II to evaluate solar power …plant location alternatives. As the F-AHP is utilized to determine the importance weights of criteria, the F-PROMETHEE II is used to rank solar energy power plant location alternatives with respect to these criteria. Moreover, to demostrate the effectiveness and applicability of the proposed approach for potential readers, a real-life case study in Turkey is presented. Show more

Keywords: Solar power plant location selection, fuzzy logic, multiple-criteria decision making, AHP, PROMETHEE II

DOI: 10.3233/JIFS-162122

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 859-871, 2017

Authors: Yan, Gang | Yu, Ming | Shi, Shuo | Feng, Chao

Article Type: Research Article

Abstract: Hazy weather affects drivers’ sightline seriously and causes a high potential safety hazard. This paper proposes a novel approach for recognizing the speed limit sign in hazy weather. It consists of three major modules: haze removal, speed limit sign location, and sign recognition. In haze removal, this paper proposes to dehaze image with the dark channel prior. The speed limit sign is located by Histogram of Oriented Gradient (HOG) feature extraction and Support Vector Machine (SVM) classification and is recognized by the seven layers Convolutional Neural Networks (CNN). Experimental results show that the proposed method has better performance than the …state-of-art dehazing methods and the processing time is also reduced. The recognition rate of the speed limit signs is 98.51% that is better than the human performance, and the classifier can recognize the speed limit sign with rotation, shift, scale and other distortions. Show more

Keywords: Computer vision and pattern recognition, speed limit sign, haze removal, dark channel prior, HOG, CNN

DOI: 10.3233/JIFS-162138

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 873-883, 2017

Authors: Nie, Ru-Xin | Wang, Jian-Qiang | Li, Lin

Article Type: Research Article

Abstract: Sustainability has increasingly become a major consideration in location planning, directing urban distribution, and regional development. This scenario can be regarded as a group decision making (GDM) voting system case. Taking into account artificial thinking and the characteristics of the case, this paper introduces the 2-tuple linguistic intuitionistic preference relation (LIPR) to resolve the GDM voting system circumstance. Firstly, the Archimedean t-norm and t-conorm based operational laws and the 2-tuple linguistic intuitionistic fuzzy weighted geometric (ATS-2TLIFWG) operator are developed to aggregate and rank linguistic intuitionistic fuzzy numbers (LIFNs). Secondly, various concepts related to the 2-tuple LIPR and geometric consistency are …extended for further analysis, including the completely geometrically consistent 2-tuple LIPR, the acceptably geometrically consistent 2-tuple LIPR, and the consistency index. Thirdly, motivated by the adverse impact of contradictory individual comparisons, we investigate a consistency modification algorithm to approximate the acceptable geometric consistency. Fourthly, we consider a consensus reaching algorithm as a unanimous elimination technique in the GDM procedure. A GDM algorithm, involving a consistency modification process as well as a consensus reaching process, and overall value aggregation process, is embedded into the GDM voting system. Finally, we conduct an illustrative example concerning smart city location planning, and employ the proposed algorithms in a comparison analysis to illustrate their feasibility and applicability. Show more

Keywords: Group decision making, 2-tuple linguistic intuitionistic preference relation, geometric consistency, group consensus, sustainable location planning voting system

DOI: 10.3233/JIFS-162139

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 885-899, 2017

Authors: Abdel-Baset, Mohamed | Wu, Haizhou | Zhou, Yongquan | Abdel-Fatah, Lila

Article Type: Research Article

Abstract: The quadratic assignment problem (QAP) is one of the most studied combinatorial optimization problems with various practical applications. In This paper, we present an Elite Opposition-Flower Pollination Algorithm (EOFPA) for solving Quadratic Assignment Problems. The performance of the proposed algorithm is tested against a set of benchmarks of QAP from the public QAPLIB Library. we compare the algorithm against the best proposals from the related literatures and we determine that the proposed algorithm is superior to some other algorithms.

Keywords: Flower pollination algorithm, meta-heuristics, optimization, quadratic assignment problem, NP hard and combinatorial optimization

DOI: 10.3233/JIFS-162141

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 901-911, 2017