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Issue title: Some highlights on fuzzy systems and data mining
Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu
Article type: Research Article
Authors: Guan, Hongjuna; * | Guan, Shuangb | Zhao, Aiwuc
Affiliations: [a] School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, China | [b] Rensselaer Polytechnic Institute, Troy, NY, USA | [c] School of Management, Jiangsu University, Zhenjiang, China
Correspondence: [*] Corresponding author. Hongjun Guan, School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, China. Tel.: +86 0531 88525845; Fax: +86 0531 88061204; E-mail: [email protected].
Abstract: This paper introduced a new measurement method called intuitionistic fuzzy linguistic soft set (IFLSS) to represent individual points of view for decision-makers to evaluate attributes of different alternatives. IFLSS combines an intuitionistic fuzzy set and linguistic soft set to help users utilize a set of linguistic variables to perceive an aspect from different points of view. This method utilizes intuitionistic fuzzy numbers to measure the matching grades among the affirming, objection, and hesitation of linguistic variables which are more diversified and pragmatic than the traditional intuitionistic fuzzy sets and two-dimensional uncertainty linguistic variables. A generalized weighted aggregation operator for IFLSS was also developed, and two methods were proposed to settle relevant decision-making problems. At last, an example in numbers was given for illustrating the application of IFLSS in decision-making, and the practicality and effectiveness of the proposed methods were verified.
Keywords: Intuitionistic fuzzy set, intuitionistic fuzzy linguistic soft set, evaluation method, multiple attribute decision making
DOI: 10.3233/JIFS-169169
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 2869-2879, 2016
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