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Directing to the inconsistency of the fault diagnosis information, a method of the rules extraction for fault diagnosis based on rough set theory and decision network is proposed. The fault diagnosis decision system attributes are reduced through discernibility matrix and discernibility function firstly, and then a decision network with different reduced(More)
The attribute reduction and value reduction of rough set were discussed in this paper. The discernibility matrix was extended to value reduction firstly and the attribute significance was redefined based on attribute dependence. An algorithm for classification rules extraction based on discernibility matrix and attribute significance is proposed, which(More)
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