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- W3158282078 abstract "A fuzzy set-valued information system (FSVIS) refers to an information system (IS) whose information values are fuzzy sets. This article investigates information structures (ISts) in a FSVIS based on granular computing (GrC). First, FSVISs and homomorphism between them are introduced. Next, ISts in a FSVIS are described. The dependence and information distance between ISts are discussed, and characterizations of ISts in a FSVIS are acquired. Additionally, as an application of ISts in a FSVIS, the entropy measure of uncertainty for a FSVIS is discussed, and on the basis of this uncertainty measure, the optimal selection of ISts is investigated. The obtained consequence will be conducive to establishing a framework for GrC in a FSVIS. Last, the difference between this paper and the references for ISts in this paper is compared and discussed." @default.
- W3158282078 created "2021-05-10" @default.
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- W3158282078 date "2021-07-01" @default.
- W3158282078 modified "2023-09-30" @default.
- W3158282078 title "Information structures in a fuzzy set-valued information system based on granular computing" @default.
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- W3158282078 doi "https://doi.org/10.1016/j.ijar.2021.04.004" @default.
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