Why do we need q‐rung orthopair fuzzy sets? Some evidence established via mass assignment

Intuitionistic fuzzy sets (IFSs) have advantage over fuzzy sets and made it possible to describe imprecise information considering its positive and negative aspects simultaneously. In an information system mass assignment and possibility theory are very useful to assign membership grades to elements...

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Bibliographic Details
Published in:International journal of intelligent systems 2021-10, Vol.36 (10), p.5493-5505
Main Authors: Shaheen, Tanzeela, Ali, Muhammad Irfan, Toor, Hamza
Format: Article
Language:English
Subjects:
Algorithms
Fuzzy sets
Intelligent systems
intuitionistic fuzzy sets
mass assignment theory
possibility theory
q‐rung orthopair fuzzy sets
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Summary:Intuitionistic fuzzy sets (IFSs) have advantage over fuzzy sets and made it possible to describe imprecise information considering its positive and negative aspects simultaneously. In an information system mass assignment and possibility theory are very useful to assign membership grades to elements in a fuzzy set. Unfortunately the situation differs for IFSs in assigning membership function (MF) and nonmembership function (NMF). In this paper, it is shown that the above‐mentioned theories fail to produce the MF and NMF for IFSs. Aim of this paper is to present an alternate algorithm to generate these grading functions based on q‐rung orthopair fuzzy set. Consequently, it will be extremely convenient to model imprecise and vague information using this approach.
ISSN:0884-8173
1098-111X
DOI:10.1002/int.22520