Entropy Measures for Hesitant Fuzzy Linguistic Term Sets Using the Concept of Interval-Transformed Hesitant Fuzzy Elements

被引：29
作者：
Farhadinia, Bahram [1 ]
Herrera-Viedma, Enrique [2 ,3 ]
机构：
[1] Quchan Univ Adv Technol, Dept Math, Quchan, Iran
[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain
[3] King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah 21589, Saudi Arabia
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2018年 / 20卷 / 07期
关键词：
Hesitant fuzzy linguistic term set; Interval-transformed hesitant fuzzy linguistic term set; Entropy measure; Multiple criteria decision making; CRITERIA DECISION-MAKING; SIMILARITY MEASURES; UNKNOWN WEIGHTS; INFORMATION;
D O I：
10.1007/s40815-017-0379-x
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article first aims to critically review the existing literature on entropy measures for hesitant fuzzy linguistic term set (HFLTS) and then exploits a bridge between HFLTSs and interval-valued fuzzy sets. The intension of introducing the concept of interval-transformed HFLTS is to derive another class of entropy measures for HFLTSs satisfying different axioms. The comparison results and the experimental evidence show that the proposed entropy measures for HFLTSs are more confident in distinguishing different HFLTSs rather than the most existing entropy measures. Finally, the practical application of proposed entropy measures is illustrated in solving a problem of multiple criteria decision making.
引用
收藏
页码：2122 / 2134
页数：13
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