Abstract

Sometimes AI has to deal with incomplete problems. Knowledge Representation is the main component to solve the problems in AI. Various Knowledge representation techniques are available to deal with complete information in Artificial Intelligence. The Knowledge Representation is necessary to deal with incomplete information. Many theories deal with incomplete information is based on Probable (Likelihood) where as fuzzy logic is based on the commonsense and belief. In this paper Fuzzy Knowledge Representation is proposed to deal with the incomplete information. The fuzzy propositions are transformed in to fuzzy modulations and transformed in to Fuzzy Predicate Logic (FPL). The Fuzzy Automated Reasoning is studied using Fuzzy Predicate Logic. The programming in Prolog is given for FPL.

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