Applicability of Crisp and Fuzzy Logic in Intelligent Response
  Generation
  This paper discusses the merits and demerits of crisp logic and fuzzy logic
with respect to their applicability in intelligent response generation by a
human being and by a robot. Intelligent systems must have the capability of
taking decisions that are wise and handle situations intelligently. A direct
relationship exists between the level of perfection in handling a situation and
the level of completeness of the available knowledge or information or data
required to handle the situation. The paper concludes that the use of crisp
logic with complete knowledge leads to perfection in handling situations
whereas fuzzy logic can handle situations imperfectly only. However, in the
light of availability of incomplete knowledge fuzzy theory is more effective
but may be disadvantageous as compared to crisp logic.
