Abstract
Two system modeling approaches are proposed with a unification of fuzzy methodologies. Type I and Type II knowledge representation are reviewed together with their proposed approximate reasoning schemes. Type I representation and inference are based on Boolean normal forms. Type I models are myopic because, in these models, either the disjunctive or the conjunctive Boolean normal forms are selected rather arbitrarily for knowledge representation and inference and then they are fuzzified. Whereas in Type II models, representation and inference are based on fuzzy disjunctive and conjunctive normal forms which are derived from the fuzzy truth tables.
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