Pythagorean cubic fuzzy aggregation information based on confidence levels and its application to multi-criteria decision making process

被引：17

作者：

Khan, Faisal ^{[1
]}

Abdullah, Saleem ^{[2
]}

Mahmood, Tariq ^{[3
]}

Shakeel, Muhammad ^{[1
]}

Rahim, Muhammad ^{[1
]}

ul Amin, Noor ^{[4
]}

机构：

[1] Hazara Univ Mansehra, Dept Math, Kpk, Pakistan

[2] Abdul Wali Khan Univ Mardan, Dept Math, Kpk, Pakistan

[3] Univ Engn & Technol, Dept Elect Engn, Taxila Sub Campus, Chakwal, Pakistan

[4] Hazara Univ, Dept Informat Technol, Mansehra, KP, Pakistan

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 36卷 / 06期

关键词：

Paythagorean cubic fuzzy sets; confidence levels; aggregation operators; decision making; MEMBERSHIP GRADES; OPERATORS; NETWORK;

D O I：

10.3233/JIFS-181516

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Pythagorean cubic fuzzy set, is an extension of the interval valued Pythagorean fuzzy set which relax the condition of the square sum of its membership and non-membership degree is less than or equal to one to supremum square sum of its membership and non-membership functions is less than one. Based on this information and by combining the idea of the confidence levels of each Pythagorean cubic fuzzy number, the proposed study investigated a new averaging and geometric operators, namely confidence Pythagorean cubic fuzzy weighted and geometric operators along with their order are presented. Some of their desired properties related to the new defined operators have been investigated. Under the given information, a multi criteria decision making process has been proposed with a numerical example for showing the effectiveness and validity of it.

引用

页码：5669 / 5683

页数：15

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