Fuzzy Logic Application for Diagnostic Reasoning

Abstract In the paper three different methods of diagnostic reasoning with application of fuzzy sets theory were briefly presented and discussed. Fuzzy logic application gives the opportunity of introducing diagnostic signal certainty degrees what is particularly important when taking into account industrial applications. The considerations were done under assumption of single faults. Fault symptom dynamic is not directly considered here. Time-to-diagnose and applicability aspects were chosen as a key factors for the comparison of the presented reasoning approaches. The advantages of serial-parallel diagnostic reasoning over either parallel or serial reasoning were underlined. Comparative examples of serial, parallel and serial-parallel reasoning were presented.

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