Document Type : Research Paper
Authors
1 Department of Mathematics, Quchan University of Technology, Iran
2 Department of Computer Science and Arti cial Intelligence, University of Granada, Spain
Abstract
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.
Keywords
hesitant fuzzy sets, International Journal of Computational Intelligence Systems, 9 (2016), 325{339.
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