Determination of entropy measures for the ordinal scale-based linguistic models

被引：33

作者：

Farhadinia, B. ^{[1
]}

机构：

[1] Quchan Univ Adv Technol, Dept Math, Quchan, Iran

来源：

INFORMATION SCIENCES | 2016年 / 369卷

关键词：

Additive and multiplicative linguistic terms; Entropy measure; Similarity measure; INTUITIONISTIC FUZZY-SETS; GROUP DECISION-MAKING; SIMILARITY MEASURE; DISTANCE; TERM; INFORMATION; METHODOLOGY; FUZZINESS; SYSTEM;

D O I：

10.1016/j.ins.2016.06.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Main objective of this contribution is to develop information about how entropy measures of linguistic terms can be designed. Two different ideas have been put forward to explain this designation: (1) The idea that comes from the seminal definition of fuzziness measure; (2) The idea of transforming similarity measures to entropy ones. To demonstrate the utility and effectiveness of the proposed entropy measures, an entropy-based approach of determining objective weights of attributes is developed to solve multiple attribute decision-making problems in the context of linguistic term sets. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：63 / 79

页数：17

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