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Fuzzy Quantifiers - A Computational Theory (Paperback, Softcover reprint of hardcover 1st ed. 2006) Loot Price: R4,403
Discovery Miles 44 030
Fuzzy Quantifiers - A Computational Theory (Paperback, Softcover reprint of hardcover 1st ed. 2006): Ingo Gloeckner

Fuzzy Quantifiers - A Computational Theory (Paperback, Softcover reprint of hardcover 1st ed. 2006)

Ingo Gloeckner

Series: Studies in Fuzziness and Soft Computing, 193

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Loot Price R4,403 Discovery Miles 44 030 | Repayment Terms: R413 pm x 12*

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From a linguistic perspective, it is quanti?cation which makes all the di?- ence between "having no dollars" and "having a lot of dollars." And it is the meaning of the quanti?er "most" which eventually decides if "Most Ame- cans voted Kerry" or "Most Americans voted Bush" (as it stands). Natural language(NL)quanti?erslike"all,""almostall,""many"etc. serveanimp- tant purpose because they permit us to speak about properties of collections, as opposed to describing speci?c individuals only; in technical terms, qu- ti?ers are a 'second-order' construct. Thus the quantifying statement "Most Americans voted Bush" asserts that the set of voters of George W. Bush c- prisesthemajorityofAmericans, while"Bushsneezes"onlytellsussomething about a speci?c individual. By describing collections rather than individuals, quanti?ers extend the expressive power of natural languages far beyond that of propositional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like "tall," and they frequently refer to fuzzy quantities in agreement like "about ten," "almost all," "many" etc. In order to exploit this expressive power and make fuzzy quanti?cation available to technical applications, a number of proposals have been made how to model fuzzy quanti?ers in the framework of fuzzy set theory. These approaches usually reduce fuzzy quanti?cation to a comparison of scalar or fuzzy cardinalities 197, 132].

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Fuzziness and Soft Computing, 193
Release date: February 2010
First published: 2006
Authors: Ingo Gloeckner
Dimensions: 235 x 155 x 24mm (L x W x T)
Format: Paperback
Pages: 460
Edition: Softcover reprint of hardcover 1st ed. 2006
ISBN-13: 978-3-642-06743-3
Categories: Books > Language & Literature > Language & linguistics > Computational linguistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-06743-3
Barcode: 9783642067433

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