Fault Diagnosis with Progressive Symptoms Based on Multi-Agent Approach
نویسندگان
چکیده
The paper is devoted to fault diagnosis problems using fuzzy decision making. We investigate dynamic diagnostic systems which can be represented by symptom-fault rule bases. The main question to be answered is what faults produce observable symptoms in the first moments of their appearance. To solve this task we propose to use a set of agents for making fuzzy hypothesis about symptoms and to solve inverse fuzzy relations.
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