Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition by Lotfi A. Zadeh (PDF)

Description

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.

User’s Reviews

Editorial Reviews: From the Back Cover 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.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐1. on time delievery2. The book of “Computing with Words” is the most advance concept in computer science. Human should use human native language to compute ( computing with words/fuzzy ). Machine should use machine’s native language to compute ( computing with integers/exact ).

⭐Libro imprescindible si estudias IA

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Keywords

Free Download Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition in PDF format
Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition PDF Free Download
Download Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition 2012 PDF Free
Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition 2012 PDF Free Download
Download Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition PDF
Free Download Ebook Computing with Words: Principal Concepts and Ideas (Studies in Fuzziness and Soft Computing, 277) 2012th Edition