Computing with Words: Principal Concepts and Ideas: Studies in Fuzziness and Soft Computing, cartea 277
Autor Lotfi A. Zadehen Limba Engleză Paperback – 9 aug 2014
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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Specificații
ISBN-13: 9783642436499
ISBN-10: 3642436498
Pagini: 156
Ilustrații: XIV, 142 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.23 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642436498
Pagini: 156
Ilustrații: XIV, 142 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.23 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Lecture notes on computing with words Collection of scientific presentations hold by the fuzzy logic pioneer Lotfi A. Zadeh Written by a leading expert in the field