Managing uncertainty in a fuzzy expert system
James J. Buckley · Academic Press Ltd. eBooks · 1990
All data and rules in a fuzzy expert system are accompanied by their degree of confidence values. This paper is concerned with processing these confidence values during one round of rule firing in a fuzzy expert system. Part I discusses determining the final confidence in the left hand side of a rule which includes: (1) pattern evaluation; (2) finding the confidence in the antecedent; and (3) combining rule and antecendent confidence. Part II discusses the maintenance of memory in a fuzzy expert production system, in both deductive reasoning systems (with sequential rule-firing schemes) and in inductive reasoning systems (with rules fired in parallel).