Journal of Intelligent & Fuzzy Systems - Volume 30, issue 3

Authors: Zhang, Gangqiang | Li, Zhaowen | Qin, Bin

Article Type: Research Article

Abstract: This paper investigates a method for multi-attribute decision making applying soft rough sets. Firstly, some new concepts such as soft decision systems, soft relative positive regions, soft relative parameter reduct of soft decision systems, dependent degree of decision partition soft sets and conditional significance relative to decision partition soft sets are proposed based on soft rough sets. Secondly, the multi-attribute decision rule applying soft rough sets is given. Thirdly, an algorithm of multi-attribute decision making applying soft rough sets is presented. Finally, an application for the component retrieval problem is given to show the validity of this method.

Keywords: Soft rough set, partition soft set, soft decision system, soft relative reduct, decision making, decision rule

DOI: 10.3233/IFS-151892

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1803-1815, 2016

Authors: Rabbani, Masoud | Farrokhi-asl, Hamed | Rafiei, Hamed

Article Type: Research Article

Abstract: In this paper, we consider the waste collection problem from customers’ location with assumptions that are closer to real life applications of the problem. The fleet of vehicles is heterogeneous and vehicles have separated compartments, namely they have different capacity for each type of waste. Also, the vehicles have different traveling time limitation and different variable and fixed cost according to their types. As well as, the multi-depot vehicle routing problem and the mixed close-open vehicle routing problem are combined together. The objective of the problem is minimizing the cost of servicing to customers with respect to customers’ demands and …available constraints. A new mathematical MIP model is proposed and to deal with this problem, three meta-heuristic algorithms are investigated and the results are compared with the results of CPLEX solver. The results of experiments show that the proposed Meta-heuristic algorithms are able to produce satisfied solutions with regard to the MIP solver CPLEX. Show more

Keywords: Waste collection, multi-depot, mixed close-open, heterogeneous vehicles, multi compartments, hybrid genetic algorithm

DOI: 10.3233/IFS-151893

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1817-1830, 2016

Authors: Zhou, Xiaoguang | Zhao, Renhou | Yu, Fengquan | Tian, Huaiying

Article Type: Research Article

Abstract: In order to discover the detailed information contained in the infrared image, this paper proposes an intuitionistic fuzzy entropy clustering algorithm for image segmentation. Because of the blurred characteristic of the infrared image, the intuitionistic fuzzy sets are selected for infrared image segmentation. The object function of the intuitionistic fuzzy entropy clustering algorithm is constructed by the intuitionistic fuzzy distance and the intuitionistic fuzzy entropy based on the regularization technique. The condition of the ntuitionistic fuzzy entropy clustering algorithm is researched. The Lagrange multiplier method is employed to calculate membership functions and the centroids. An iterative algorithm is deduced to …calculate Lagrange multiplier coefficient and membership. Finally, experimental results demonstrate the ability of the intuitionistic fuzzy entropy clustering algorithm for infrared image segmentation. Show more

Keywords: Intuitionistic fuzzy C-means clustering, infrared image segmentation, membership degree

DOI: 10.3233/IFS-151894

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1831-1840, 2016

Authors: Özceylan, Eren | Kabak, Mehmet | Dağdeviren, Metin

Article Type: Research Article

Abstract: The selection of appropriate machines is one of the most critical decisions in the design and development of an efficient production environment. It is the fact that improper machine selection can result in quality, flexibility, productivity, etc., problems and negatively affect the overall performance and productivity of a manufacturing system. On the other hand, selecting the best machine among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, a fuzzy-based MCDM approach is used. For this aim, the fuzzy analytic network process (FANP) is used to determine weights of the criteria and preference ranking organization method for …enrichment evaluations (PROMETHEE) is used to obtain final ranking of alternative machines. The proposed approach is applied for the selection of a CNC router machine (RM) to be purchased in an international company. In the problem addressed, there are four main criteria, namely cost, quality, flexibility and performance with the corresponding fourteen sub-criteria. The results for the case study indicate the best machine among six potential alternatives and provide different managerial insights for the decision makers. Show more

Keywords: Fuzzy analytic network process, machine selection, multi-criteria decision making, PROMETHEE

DOI: 10.3233/IFS-151895

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1841-1856, 2016

Authors: Haghighi, Ali | Ayati, Amir Houshang

Article Type: Research Article

Abstract: Uncertainties in the analysis and design parameters of a gravity dam are spread out over the system and make the stability safety factors uncertain too. To analyze the effects of such uncertainties on the dam performance, a conceptual model based on the fuzzy sets theory is introduced here. The input uncertainties are simulated by triangular fuzzy numbers and introduced to the governing equations. To evaluate the extreme values of the dam safety factors, a many objective optimization problem is formed. To solve the problem efficiently, a many-objective genetic algorithm (MOGA) is coupled to the dam stability analysis model. The model …is able to estimate all extreme values of the dam safety factors in only one single optimization run. An example gravity dam with and without uncertainty is analyzed respectively by the traditional and the fuzzy approaches. It is found that small input uncertainties can highly influence the analysis responses and, the proposed method can efficiently capture all safety factors uncertainties. For example, the simulations revealed that only ± 10% uncertainty in the dam design parameters would lead to about −346 to +146 % uncertainty in the stability safety factors. Show more

Keywords: Uncertainty, stability analysis, fuzzy sets theory, gravity dam, safety factor

DOI: 10.3233/IFS-151897

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1857-1868, 2016

Authors: Chan, Kit Yan | Ling, Sai Ho

Article Type: Research Article

Abstract: Fuzzy regression models have commonly been used to correlate engineering characteristics with consumer preferences regarding a new product. Based on the models, product developers can determine optimal engineering characteristics of the new product in order to satisfy consumer preferences. However, they have a common limitation in that they cannot guarantee to include significant regressors with significant engineering characteristics or significant nonlinear terms. The generalization capability of the model can be reduced, when too few significant regressors are included and too many insignificant regressors are included. In this paper, a forward selection based fuzzy regression (FS-FR) is proposed based on the …statistical forward selection to determine significant regressors. After the significant regressors are determined, the fuzzy regression is used to generate the fuzzy coefficients which address the uncertainties due to fuzziness and randomness caused by consumer preference evaluations. The developed model includes only significant regressors which attempt to improve the generalization capability. A case study of a tea maker design demonstrated that the FS-FR was able to generate consumer preference models with better generalization capabilities than the other tested fuzzy regressions. Also simpler consumer preference models can be provided for the new product development. Show more

Keywords: Fuzzy regression, statistical forward selection, new product development, consumer preferences, engineering characteristics, tea maker design, overfitting, generalization capability

DOI: 10.3233/IFS-151898

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1869-1880, 2016