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With rough set theory for knowledge reduction capability and C4.5 decision tree algorithm for fast classification of strengths, an improved rough set-decision tree model for fault diagnosis of wind generation system is built. The results show that the proposed method can not only decreases the workload of feature datum extraction, but also identifies the fault patterns rapidly and accurately, and...
Traditional ontology-based discovery of semantic Web services use similarity calculation of services and cluster to discovery Web services, on this basis, we present an improved service clustering approach and a framework for ontology-based flexible discovery of Semantic Web services. First of all, we use service analyzer to pick up information of service and use keywords to find out related services;...
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