Natural Language Input for Fuzzy Diagnosis
Several kinds of diagnosis techniques based on the kinetic or statistical model of a nuclear plant have been already utilized in operation. Rule-based approaches have been proposed as well to realize a flexible diagnostic method with use of fuzzy sets, which pay attention at the rules describing the relationship between the cause and symptom of the failures. These might be able to infer the failure by modus tollens using implications to represent the relation between the cause and symptom. In the first step of a diagnosis, it needs a broad outline of the failure from slightly symptoms. The present paper attempts to express the natural language input for fuzzy diagnosis with a dialog box on Visual C++.
KeywordsFlow Rate Increase Fuzzy Relation Inverse Process Steam Line Modus Tollens
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