Abstract
Rough set based attribute reduction is an important problem in pre-processing step in data mining. However, most rough set based attribute reduction methods perform on single-value decision tables. In this paper, we solve attribute reduction problems in set-valued decision tables. Our method uses the distance measure which constructed between a conditional attribute set and decision attribute. General Terms Rough set, decision table, set-valued decision table, attribute reduction.
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