Some new similarity measures for hesitant fuzzy sets and their applications in multiple attribute decision making
Information Theory
2012-12-27 v2 math.IT
Abstract
Similarity measure is a very important topic in fuzzy set theory. Torra (2010) proposed the notion of hesitant fuzzy set(HFS), which is a generalization of the notion of Zadeh' fuzzy set. In this paper, some new similarity measures for HFSs are developed. Based on the proposed similarity measures, a method of multiple attribute decision making under hesitant fuzzy environment is also introduced. Additionally, a numerical example is given to illustrate the application of the proposed similarity measures of HFSs to decision-making.
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Cite
@article{arxiv.1211.4125,
title = {Some new similarity measures for hesitant fuzzy sets and their applications in multiple attribute decision making},
author = {Xiaoqiang Zhou and Qingguo Li},
journal= {arXiv preprint arXiv:1211.4125},
year = {2012}
}
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17 pages