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Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193) - Ingo Glöckner
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Ingo Glöckner:

Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193) - Paperback

2010, ISBN: 3642067433

Taschenbuch, [EAN: 9783642067433], Springer, Springer, Book, [PU: Springer], 2010-02-12, Springer, From a linguistic perspective, it is quanti?cation which makes all the di?- ence between… More...

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Ingo Glöckner:

Fuzzy Quantifiers a Computational Theory 193 Studies in Fuzziness and Soft Computing - First edition

2002, ISBN: 9783642067433

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Ingo Glöckner:
Fuzzy Quantifiers - Paperback

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ISBN: 3642067433

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Ingo Glckner:
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) - Paperback

2006, ISBN: 9783642067433

Springer Berlin Heidelberg, 2006. Paperback. New. 477 pages. 9.25x6.10x1.09 inches., Springer Berlin Heidelberg, 2006, 6

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Glöckner, Ingo:
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, 193) - Paperback

2010, ISBN: 3642067433

[EAN: 9783642067433], Neubuch, [PU: Springer], Books

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Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193)

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].

Details of the book - Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193)


EAN (ISBN-13): 9783642067433
ISBN (ISBN-10): 3642067433
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
480 Pages
Weight: 0,719 kg
Language: eng/Englisch

Book in our database since 2011-06-06T06:39:16-04:00 (New York)
Detail page last modified on 2023-06-08T19:20:05-04:00 (New York)
ISBN/EAN: 9783642067433

ISBN - alternate spelling:
3-642-06743-3, 978-3-642-06743-3
Alternate spelling and related search-keywords:
Book author: glöckner, glock, glockner


Information from Publisher

Author: Ingo Glöckner
Title: Studies in Fuzziness and Soft Computing; Fuzzy Quantifiers - A Computational Theory
Publisher: Springer; Springer Berlin
460 Pages
Publishing year: 2010-02-12
Berlin; Heidelberg; DE
Printed / Made in
Language: English
164,99 € (DE)

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Extension; Fuzzy Quantifiers; Fuzzy Set Theory; Gloeckner; Linguistic Quantifiers; Natural Lanuage Processing; communication; construction; fuzzy; fuzzy set; logic; model; natural language; Mathematical and Computational Engineering Applications; Artificial Intelligence; Computational Linguistics; Künstliche Intelligenz; Computerlinguistik und Korpuslinguistik; BB

An Introduction to Fuzzy Quantification: Origins and Basic Concepts.- A Framework for Fuzzy Quantification.- The Axiomatic Class of Plausible Models.- Semantic Properties of the Models.- Special Subclasses of Models.- Special Semantical Properties and Theoretical Limits.- Models Defined in Terms of Three-Valued Cuts and Fuzzy-Median Aggregation.- Models Defined in Terms of Upper and Lower Bounds on Three-Valued Cuts.- The Full Class of Models Defined in Terms of Three-Valued Cuts.- The Class of Models Based on the Extension Principle.- Implementation of Quantifiers in the Models.- Multiple Variable Binding and Branching Quantification.- Discussion.

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