A NEW METHOD FOR MULTIPLE ATTRIBUTE DECISION MAKING BASED ON INTUITIONISTIC FUZZY GEOMETRIC AVERAGING OPERATORS

被引：0
|
作者：
Chen, Shyi-Ming [1 ]
Chang, Chia-Hao [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL. 1 | 2015年
关键词：
Fuzzy numbers; Intuitionistic fuzzy values; Intuitionistic fuzzy sets; Geometric averaging operator; Decision making; VAGUE SET-THEORY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a new method for multiple attribute decision making based on the proposed intuitionistic fuzzy weighted geometric averaging (IFWGA) operator, the proposed intuitionistic fuzzy ordered weighted geometric averaging (IFOWGA) operator and the proposed intuitionistic fuzzy hybrid geometric averaging (IFHGA) operator of intuitionistic fuzzy values. The proposed multiple attribute decision making method can overcome the drawbacks of the existing methods. It provides us a useful way for multiple attribute decision making in intuitionistic fuzzy environments.
引用
收藏
页码：426 / 432
页数：7
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