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

2010, ISBN: 3642067433

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

2010, ISBN: 3642067433

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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].

Informations détaillées sur le livre - Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing, Band 193)


EAN (ISBN-13): 9783642067433
ISBN (ISBN-10): 3642067433
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer
480 Pages
Poids: 0,719 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-06-06T12:39:16+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-06-09T01:20:05+02:00 (Zurich)
ISBN/EAN: 9783642067433

ISBN - Autres types d'écriture:
3-642-06743-3, 978-3-642-06743-3
Autres types d'écriture et termes associés:
Auteur du livre: glöckner, glock, glockner


Données de l'éditeur

Auteur: Ingo Glöckner
Titre: Studies in Fuzziness and Soft Computing; Fuzzy Quantifiers - A Computational Theory
Editeur: Springer; Springer Berlin
460 Pages
Date de parution: 2010-02-12
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
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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