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- W1976367125 abstract "In this paper, we investigate approaches to attribute reduction for decision tables with imprecise decision attribute values. First, we introduce imprecise decision tables, and presumable and possible decision attribute value sets. We define several meaningful object sets based on the twofold decision attribute value sets. Using those object sets, we propose value-oriented and object-oriented approaches to attribute reduction of imprecise decision tables. We show some properties of several reducts defined by the approaches. These properties help the selection of reducts suitable for the problem and analyst preference. A numerical example is given." @default.
- W1976367125 created "2016-06-24" @default.
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- W1976367125 date "2012-08-01" @default.
- W1976367125 modified "2023-09-24" @default.
- W1976367125 title "Attribute reduction for imprecise decision tables" @default.
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- W1976367125 doi "https://doi.org/10.1109/grc.2012.6468686" @default.
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