期刊
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
卷 36, 期 10, 页码 5493-5505出版社
WILEY
DOI: 10.1002/int.22520
关键词
intuitionistic fuzzy sets; mass assignment theory; possibility theory; q-rung orthopair fuzzy sets
Intuitionistic fuzzy sets (IFSs) have advantages over fuzzy sets for describing imprecise information, but traditional theories fail to produce membership functions (MF) and nonmembership functions (NMF) for IFSs. This paper presents an alternative algorithm based on q-rung orthopair fuzzy set to generate these grading functions, making it convenient to model imprecise and vague information.
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.
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