Novel entropy and distance measures of linguistic interval-valued q-Rung orthopair fuzzy sets

被引：4

作者：

Gong, Zhiwei ^{[1
]}

机构：

[1] Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou, Fujian, Peoples R China

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2023年 / 44卷 / 05期

关键词：

Entropy measure; distance measure; linguistic interval-valued q-Rung orthopair fuzzy set; group decision making; GROUP DECISION-MAKING; SIMILARITY MEASURE; INFORMATION; DEFINITION;

D O I：

10.3233/JIFS-223729

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Entropy is an important tool to describe the degree of uncertainty of fuzzy sets. In this study, we first define a new entropy and distance measure in the linguistic q-Rung orthopair fuzzy (LIVqROF) environment, and verify its correctness and rationality. Secondly, in the LIVqROF environment, the new entropy formula is effectively applied to the multi-attribute decision making (MADM) with unknown attribute weights, which provides a new idea for solving the MADM problems. Finally, the feasibility and effectiveness of the proposed method are verified by a numerical example.

引用

页码：7865 / 7876

页数：12

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