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• W2045344771 abstract "Rough set theory is a suitable tool for dealing with the imprecision, uncertainty, incompleteness, and vagueness of knowledge. In this paper, new lower and upper approximation operators for generalized fuzzy rough sets are constructed, and their definitions are expanded to the interval-valued environment. Furthermore, the properties of this type of rough sets are analyzed. These operators are shown to be equivalent to the generalized interval fuzzy rough approximation operators introduced by Dubois, which are determined by any interval-valued fuzzy binary relation expressed in a generalized approximation space. Main properties of these operators are discussed under different interval-valued fuzzy binary relations, and the illustrative examples are given to demonstrate the main features of the proposed operators." @default.
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• W2045344771 date "2014-01-01" @default.
• W2045344771 modified "2023-10-15" @default.
• W2045344771 title "A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators" @default.
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• W2045344771 doi "https://doi.org/10.1155/2014/783940" @default.
• W2045344771 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4138800" @default.
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• W2045344771 hasPublicationYear "2014" @default.
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