Fuzzy logic provides an inference morphology that enables approximate human reasoningcapabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides amathematical strength to capture the uncertainties associated with human cognitive processes, such asthinking and reasoning. The conventional approaches to knowledge representation lack the means for representing the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probability theory do not provide an appropriate conceptual framework for dealingwith the representation of commonsense knowledge, since such knowledge is by its nature bothlexically imprecise and noncategorical.
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