2-tuple intuitionistic fuzzy linguistic aggregation operators in multiple attribute decision making

被引：0

作者：

Wei, G. W. ^{[1
]}

机构：

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

来源：

IRANIAN JOURNAL OF FUZZY SYSTEMS | 2019年 / 16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 intuitionistic fuzzy linguistic set; 2-tuple intuitionistic fuzzy linguistic weighted average (2TIFLWA) operator; 2-tuple intuitionistic fuzzy linguistic ordered weighted geometric (2TIFLOWG) operator; enterprise resource planning (ERP) system selection; BONFERRONI MEAN OPERATORS; SIMILARITY MEASURES; SUPPORT-SYSTEM; MODEL; SETS; INFORMATION; MANAGEMENT; METHODOLOGY; DEAL;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we investigate the multiple attribute decision making (MADM) problems with 2-tuple intuitionistic fuzzy linguistic information. Then, we utilize arithmetic and geometric operations to develop some 2-tuple intuitionistic fuzzy linguistic aggregation operators. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the 2-tuple intuitionistic fuzzy linguistic MADM problems. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.

引用

页码：159 / 174

页数：16

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