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There may be many fuzzy attributes in a fuzzy information system. Different fuzzy attribute has different contribution to classification. More important attributes have more contribution than the others to decision-making. In this paper, based on the importance of the fuzzy condition attributes, a new method generating a fuzzy decision tree is proposed, which uses the important degree of the fuzzy...
Recently, many methods based on fuzzy rough sets are proposed to reduce fuzzy attributes. The common characteristic of these methods is that all of them are based on fuzzy equivalence relation. In other words, the underlying concept of rough sets, indispensability relation, is generalized to fuzzy equivalence relation. Here fuzzy equivalence relation is the binary relation, which is reflexive, symmetric...
Fuzzy rough set is a generalization of Pawlak rough set to deal with both fuzziness and vagueness. The existing approaches to fuzzy rough set pay more attention to the construction of approximation operators rather than the attributes reduction of the fuzzy rough set. This paper defines a fuzzy information system and investigates its reductions. Some fundamental properties of the system are discussed...
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