CONSISTENCY CHECKING FOR FUZZY EXPERT-SYSTEMS

Inconsistency frequently exists in a rule-based expert system Detectin g the existence of inconsistency in a fuzzy rule-based environment is difficult and may be different from that of traditional rule-based sys tems. An affinity measure, which is based on the similarity measure, i s introduced to determine the likeness of two fuzzy terms. By using th e affinity measure, the techniques for consistency checking in a non-f uzzy environment can be easily applied to a fuzzy environment. A consi stency checker (CCFE) is implemented to detect possible inconsistency in a mixed fuzzy and non-fuzzy environment.