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This paper discusses the merits and demerits of crisp logic and fuzzy logicwith respect to their applicability in intelligent response generation by ahuman being and by a robot. Intelligent systems must have the capability oftaking decisions that are wise and handle situations intelligently. A directrelationship exists between the level of perfection in handling a situation andthe level of completeness of the available knowledge or information or datarequired to handle the situation. The paper concludes that the use of crisplogic with complete knowledge leads to perfection in handling situationswhereas fuzzy logic can handle situations imperfectly only. However, in thelight of availability of incomplete knowledge fuzzy theory is more effectivebut may be disadvantageous as compared to crisp logic.

Applicability of Crisp and Fuzzy Logic in Intelligent Response Generation