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Novel Models of Fuzzy Rough Coverings Based on Fuzzy α-Neighborhood and its Application to Decision-Making | IEEE Journals & Magazine | IEEE Xplore

Novel Models of Fuzzy Rough Coverings Based on Fuzzy α-Neighborhood and its Application to Decision-Making


Fuzzy alpha and beta-neighborhood operators.

Abstract:

Recently, the concept of a fuzzy \alpha - neighborhood operator with reflexivity was established and a fuzzy rough set covering based on a fuzzy \alpha - neighbor...Show More

Abstract:

Recently, the concept of a fuzzy \alpha - neighborhood operator with reflexivity was established and a fuzzy rough set covering based on a fuzzy \alpha - neighborhood operator was defined by Zhang et al. As a generalization of Zhang et al. models, this article aims to introduce the notion of a complementary fuzzy \alpha -neighborhood operator with reflexivity. Also, three new kinds of a fuzzy rough set covering based on a fuzzy \alpha - neighborhood operator are constructed and some of their properties are discussed. Further, the relationships between these models are studied. Several new kinds of a fuzzy rough set covering based variable precision are put forward and the relevant properties are constructed. Finally, an application to MADM to solve realistic problems is illustrated.
Fuzzy alpha and beta-neighborhood operators.
Published in: IEEE Access ( Volume: 8)
Page(s): 224354 - 224364
Date of Publication: 11 December 2020
Electronic ISSN: 2169-3536

Funding Agency:


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