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Based on fuzzy logic, CWW challenges the numerical dominance of computing by ascribing computational meaning to elements of natural language. Written by a key figure in the field, it shows how the method can solve linguistically stated computational problems.

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In essence, Computing with Words (CWW) is a system of computation in which the objects of computation are predominantly words, phrases and propositions drawn from a natural language. CWW is based on fuzzy logic. In science there is a deep-seated tradition of according much more respect to numbers than to words. In a fundamental way, CWW is a challenge to this tradition. What is not widely recognized is that, today, words are used in place of numbers in a wide variety of applications ranging from digital cameras and household appliances to fraud detection systems, biomedical instrumentation and subway trains.

CWW offers a unique capability-the capability to precisiate natural language. Unprecisiated (raw) natural language cannot be computed with. A key concept which underlies precisiation of meaning is that of the meaning postulate: A proposition, p, is a restriction on the values which a variable, X-a variable which is implicit in p-is allowed to take.

CWW has an important ramification for mathematics. Addition of the formalism of CWW to mathematics empowers mathematics to construct mathematical solutions of computational problems which are stated in a natural language. Traditional mathematics does not have this capability.

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From the content: What Is Computing With Words.- Essence Of CWW.- Basic Structure Of CWW.- Phases Of CWW.- Levels Of Complexity In CWW.- Imprecision Of Natural Languages And Fuzzy Logic.- Principal Rationales For Computing With Words.

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