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Horizontal representation of a hesitant fuzzy set and its application to multiple attribute decision making | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 2، دوره 16، شماره 5، آذر و دی 2019، صفحه 1-13 اصل مقاله (225.21 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2019.4900 | ||
نویسندگان | ||
B. Farhadinia ![]() | ||
1Department of Mathematics, Quchan University of Technology, Iran | ||
2Department of Computer Science and Articial Intelligence, University of Granada, Spain | ||
چکیده | ||
The main aim of this paper is to present a novel method for ranking hesitant fuzzy sets (HFSs) based on transforming HFSs into fuzzy sets (FSs). The idea behind the method is an interesting HFS decomposition which is referred here to as the horizontal representation in the current study. To show the validity of the proposed ranking method, we apply it to solve a multi-attribute decision-making problem under hesitant fuzzy environment. Interestingly, the results show that the proposed method gives the most accepted precedence of alternatives in comparison with the other existing methods. | ||
کلیدواژهها | ||
ijfs{Hesitant fuzzy sets؛ ranking method for HFSs؛ hesitant multi-attribute decision-making | ||
مراجع | ||
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