Negative Hesitation Soft Fuzzy Sets and its Application on Decision Making Problems

In this paper, we propose a concept on fuzzy soft set with negative hesitation degree. Considering the unclear information on fuzzy sets, it is represented as the overlap with the intersection of known sets over the universe of discourse. The hesitation part is clarified with detail by analyzing the...

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Bibliographic Details
Published in:	2022 International Conference on Machine Learning and Cybernetics (ICMLC) pp. 91 - 96
Main Authors:	Yang, Youpeng, Lee, Sanhgyuk, Zhang, Haolan, Pedrycz, Witold
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09-09-2022
Subjects:	Cybernetics Decision making Decision-making strategy Fuzzy sets Machine learning Negative hesitation Pattern recognition Soft sets
Online Access:	Get full text
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Summary:	In this paper, we propose a concept on fuzzy soft set with negative hesitation degree. Considering the unclear information on fuzzy sets, it is represented as the overlap with the intersection of known sets over the universe of discourse. The hesitation part is clarified with detail by analyzing the overlap area belonging to the intersection of known sets or not involving in any known sets. It also resolves the limitations in intuitionistic fuzzy sets and Pythagorean fuzzy sets. With the combination of membership degree and non-membership degree, (negative)hesitation is defined in their domain. From the definition, it is more flexible for fuzzy sets characterizing when the negative hesitation degree used to describe information.
ISSN:	2160-1348
DOI:	10.1109/ICMLC56445.2022.9941306