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- W2964298220 abstract "The notion of homomorphism, as an important tool for studying the relationship between information systems, has attracted a great deal of attentio n in recent years, and the authors tend to pay their attention to static information systems in the exi sting studies. In the present paper, we aim to study homomorphisms between fuzzy relation information systems (FRISs) in dynamic environ- ments, where the terminology of dynamic refers to the fact that the involved information systems need to be updated with time due to the inflow of new informatio n. To be more specific, we firstly examine properties of consistent functions with respect to fuzzy relations and construct homomor- phisms between FRISs. Then, we develop incremental mechanisms of computing homomorphisms between dynamic FRISs and illustrate how to construct relation reducts of dynamic FRISs using homomorphisms. Lastly, the experimental results are employed to demonstrate that compressing dynamic FRISs can be simplified significantly with the propos ed algorithms." @default.
- W2964298220 created "2019-07-30" @default.
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- W2964298220 date "2015-12-09" @default.
- W2964298220 modified "2023-09-23" @default.
- W2964298220 title "Compression of Dynamic Fuzzy Relation Information Systems" @default.
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- W2964298220 doi "https://doi.org/10.3233/fi-2015-1295" @default.
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