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
收藏
页码：159 / 174
页数：16
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