Rough Set Approach to Information Tables with Imprecise Decisions
In this paper, we treat information tables with imprecise decisions, for short, imprecise decision tables. In the imprecise decision tables, decision attribute values are specified imprecisely. Under such decision tables, lower and upper object sets for a set of decision attribute values are defined. Their properties are shown. Concepts of reducts of imprecise decision tables are studied. Discernibility matrix methods are investigated for calculations of all reducts.
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