A new ranking technique for q‐rung orthopair fuzzy values. Issue 1 (31st October 2020)

• Record Type: Journal Article
• Authors: Khan, Muhammad Jabir; Ali, Muhammad Irfan; Kumam, Poom
• Is Part Of: International journal of intelligent systems. Volume 36:Issue 1(2021)
• Page Start: 558
• Page End: 592
• Publication Date: 2020-10-31
• Subjects: entropy -- knowledge base -- qROFS -- ranking techniques; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.22311
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: In intuitionistic fuzzy set and their generalizations such as Pythagorean fuzzy sets and q‐rung orthopair fuzzy sets, ranking is not easy to define. There are several techniques available in literature for ranking values in above mentioned orthopair fuzzy sets. It is interesting to see that almost all the proposed ranking methods produce distinct ranking. Notion of knowledge base is very important to study ranking proposed by different techniques. Aim of this paper is to critically analyze the available ranking techniques for q‐rung orthopair fuzzy values and propose a new graphical ranking method based on hesitancy index and entropy. Several numerical examples are tested with the proposed technique, which shows that the technique is intuitive and convenient for real life applications.