Adaptive diagnostic system based on fuzzy relations

Authors:
A. P. Rotshtein;H. B. Rakytyanska
Affiliations:
Jerusalem College of Technology, Machon Lev, Israel;Vinnitsa National Technical University, Vinnitsa, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2009

Citing 8
Cited 0

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Abstract

Causes (diagnoses) are retrieved and identified using observed effects (symptoms) based on fuzzy relations and Zadeh's compositional rule of inference. An approach to designing adaptive fuzzy diagnostic systems is proposed. It allows solving fuzzy logic equations and designing and adjusting fuzzy relations using expert and experimental information.