Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process

被引：179
|
作者：
Garg, Harish [1 ]
机构：
[1] Thapar Univ, Sch Math, Patiala 147004, Punjab, India
来源：
COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY | 2017年 / 23卷 / 04期
关键词：
Pythagorean fuzzy set; MCDM; Confidence levels; Aggregation operators; Decision making; INFORMATION AGGREGATION; MEMBERSHIP GRADES; ACCURACY FUNCTION; TOPSIS;
D O I：
10.1007/s10588-017-9242-8
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Pythagorean fuzzy set, an extension of the intuitionistic fuzzy set which relax the condition of sum of their membership function to square sum of its membership functions is less than one. Under these environment and by incorporating the idea of the confidence levels of each Pythagorean fuzzy number, the present study investigated a new averaging and geometric operators namely confidence Pythagorean fuzzy weighted and ordered weighted operators along with their some desired properties. Based on its, a multi criteria decision-making method has been proposed and illustrated with an example for showing the validity and effectiveness of it. A computed results are compared with the aid of existing results.
引用
收藏
页码：546 / 571
页数：26
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