Some 2-tuple linguistic Pythagorean Heronian mean operators and their application to multiple attribute decision-making

被引：57

作者：

Deng, Xiumei ^{[1
]}

Wang, Jie ^{[2
]}

Wei, Guiwu ^{[2
]}

机构：

[1] Sichuan Normal Univ, Coll Math Sci, Chengdu, Sichuan, Peoples R China

[2] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China

来源：

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2019年 / 31卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Multiple attribute decision making (MADM); 2-tuple linguistic Pythagorean fuzzy numbers; G2TLPFHM operator; G2TLPFWHM operator; green supplier selection; HAMACHER AGGREGATION OPERATORS; GREEN SUPPLIER SELECTION; REPRESENTATION MODEL; SIMILARITY MEASURES; PROGRAMMING METHOD; TOPSIS METHOD; TODIM METHOD; FUZZY-SETS; EXTENSION; PROJECT;

D O I：

10.1080/0952813X.2019.1579258

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we expand the generalised Heronian mean (GHM) operator, generalised weighted Heronian mean (GWHM), geometric Heronian mean (GHM) operator, and weighted geometric Heronian mean (WGHM) operator with 2-tuple linguistic Pythagorean fuzzy numbers (2TLPFNs) to propose generalised 2-tuple linguistic Pythagorean fuzzy Heronian mean (G2TLPFHM) operator, generalised 2-tuple linguistic Pythagorean fuzzy weighted Heronian mean (G2TLPFWHM) operator, 2-tuple linguistic Pythagorean fuzzy geometric Heronian mean (2TLPFGHM) operator, 2-tuple linguistic Pythagorean fuzzy weighted geometric Heronian mean (2TLPFWGHM) operator. Then, the MADM methods are proposed with these operators. In the end, we utilise an applicable example for green supplier selection to prove the proposed methods.

引用

页码：555 / 574

页数：20

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