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- W1570255594 abstract "In this paper, we discuss attribute reduction in variable precision rough set model. We consider several kinds of reducts preserving some of lower approximations, upper approximations, boundary regions and the unpredictable region. We show relations among those kinds of reducts. Moreover we discuss logical function representations of the preservation of lower approximations, upper approximations, boundary regions and the unpredictable region as a basis for reduct calculation. By those discussions, the great difference between the analysis using variable precision rough sets and the classical rough set analysis is emphasized.KeywordsLogical FunctionLower ApproximationDecision TableDecision ClassDiscernibility MatrixThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1570255594 created "2016-06-24" @default.
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- W1570255594 date "2005-01-01" @default.
- W1570255594 modified "2023-09-25" @default.
- W1570255594 title "Several Approaches to Attribute Reduction in Variable Precision Rough Set Model" @default.
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- W1570255594 doi "https://doi.org/10.1007/11526018_22" @default.
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