Type I and type II fuzzy system modeling

Two system modeling approaches are proposed with a unification of fuzzy met hodologies. Type I and Type II knowledge representation are reviewed togeth er with their proposed approximate reasoning schemas. 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, repre sentation and inference are based on fuzzy disjunctive and conjunctive norm al forms which are derived from the fuzzy truth tables. (C) 1999 Elsevier S cience B.V. All rights reserved.