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For the shortcomings of fuzzy rule reasoning method in traditional fault diagnosis expert system, a fuzzy rule matching method based on semantic similarity and bipartite graph is proposed in this paper. Firstly, fault domain knowledge ontology is built by analyzing domain fault knowledge, and then the input fault phenomena set and the property set of rule set antecedent act as the vertex sets of bipartite...
To improve accuracy of semantic similarity measure between ontology concepts, four main factors that impact on semantic similarity measure is taken into account. They are semantic distance, semantic depth, semantic coincidence and semantic density. Firstly, they were preprocessed to obtain four basic methods for calculating semantic similarity. And then Multi Expression Programming algorithm was adopted...
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