Some 2-tuple linguistic neutrosophic number Muirhead mean operators and their applications to multiple attribute decision making

被引：29
|
作者：
Wang, Jie [1 ]
Gao, Hui [1 ]
Wei, Guiwu [1 ]
机构：
[1] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China
来源：
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2019年 / 31卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Multiple attribute decision making (MADM); neutrosophic numbers; 2-tuple linguistic neutrosophic numbers set (2TLNNSs); 2TLNNMM operator; 2TLNNDMM operator; HAMACHER AGGREGATION OPERATORS; GREEN SUPPLIER SELECTION; CORRELATION-COEFFICIENT; REPRESENTATION MODEL; SIMILARITY MEASURES; TODIM METHOD; SETS; INFORMATION;
D O I：
10.1080/0952813X.2018.1552320
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 Muirhead mean (MM) operator and dual MM (DMM) operator with 2-tuple linguistic neutrosophic numbers (2TLNNs) to propose the 2-tuple linguistic neutrosophic numbers MM (2TLNNMM) operator, 2-tuple linguistic neutrosophic numbers weighted MM (2TLNNWMM) operator, 2-tuple linguistic neutrosophic numbers DMM (2TLNNDMM) operator and 2-tuple linguistic neutrosophic numbers weighted DMM (2TLNNWDMM) operator. Then, the MADM methods are proposed with these two operators. Finally, an example for green supplier selection is used to show the proposed methods.
引用
收藏
页码：409 / 439
页数：31
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