Consistency checking for fuzzy expert systems

Abstract

Inconsistency frequently exists in a rule-based expert system. Detecting the existence of inconsistency in a fuzzy rule-based environment is difficult and may be different from that of traditional rule-based systems. An affinity measure, which is based on the similarity measure, is introduced to determine the likeness of two fuzzy terms. By using the affinity measure, the techniques for consistency checking in a non-fuzzy environment can be easily applied to a fuzzy environment. A consistency checker (CCFE) is implemented to detect possible inconsistency in a mixed fuzzy and non-fuzzy environment. © 1993.