The new similarity measure and distance measure between hesitant fuzzy linguistic term sets and their application in multi-criteria decision making-Reference-Cited by-同舟云学术

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The new similarity measure and distance measure between hesitant fuzzy linguistic term sets and their application in multi-criteria decision making

Published:2019-07-09 Issue:1 Volume:37 Page:995-1006
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Donghai Liu¹,Yuanyuan Liu¹,Xiaohong Chen²³

Affiliation:

1. Department of Statistics, Hunan University of Science and Technology, Hunan, China

2. Mobile E-business Collaborative Innovation Center of Hunan Province, Hunan University of Commerce, Hunan, China

3. Business School, Central South university, Hunan, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference49 articles.

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2. Fuzzy sets in pattern recognition: Methodology and methods [J];Pedrycz;Pattern Recognition,1990

3. Fuzzy Set Theory in Medical Diagnosis [J];Adlassnig;IEEE Trans.syst.man Cybern,1986

4. Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II [J];Kouhikamali;IEEE Transactions on Fuzzy Systems,1995

5. Multi-objective optimization problem of system reliability under intuitionistic fuzzy set environment using Cuckoo Search algorithm [J];Garg;Journal of intelligent and fuzzy systems,2015

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3. A DEMATEL and consensus based MCGDM approach for with multi-granularity hesitant fuzzy linguistic term set;Journal of Intelligent & Fuzzy Systems;2020-04-30

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