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Fuzzy Quantifiers - 10 Angebote vergleichen
Preise | Dez. 16 | Jan. 19 | Okt. 19 |
---|---|---|---|
Schnitt | € 172,19 | € 159,05 | € 125,90 |
Nachfrage |
Principles Of Computer Graphics
ISBN: 9783540296348 bzw. 3540296344, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, Taschenbuch, neu.
International Edition,Cover & ISBN may be different from US edition,PAPERBACK. Book Condition: New. Brand New,Softcover,No Access code & No context dvd, But Contents are same as US Edition.Printed in English Language,Prompt shipping by USPS,UPS,DHL,Fedex.Exceptional customer Service,Satisfaction Guaranteed. We may ship the books from Asian regions for inventory purpose. "Special Note" We do not provide service on APO & BOX box addresses.
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) (2006)
ISBN: 9783540296348 bzw. 3540296344, in Englisch, 460 Seiten, 2006. Ausgabe, Springer, gebundenes Buch, neu.
Von Händler/Antiquariat, surpluscomputerbooks.
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]. Hardcover, Ausgabe: 2006, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-02-01, Studio: Springer, Verkaufsrang: 7257685.
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) (2006)
ISBN: 9783540296348 bzw. 3540296344, in Englisch, 460 Seiten, 2006. Ausgabe, Springer, gebundenes Buch, gebraucht.
Von Händler/Antiquariat, Gardner's Used Books.
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]. Hardcover, Ausgabe: 2006, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-02-01, Studio: Springer, Verkaufsrang: 7257685.
Fuzzy Quantifiers - A Computational Theory
ISBN: 9783540325031 bzw. 3540325034, in Deutsch, Springer Berlin Heidelberg, neu, E-Book, elektronischer Download.
Fuzzy Quantifiers: From a linguistic perspective, it is quanti cation which makes all the di - ence between "e having no dollars"e and "e having a lot of dollars"e . And it is the meaning of the quanti er "e most"e which eventually decides if "e Most Ame- cans voted Kerry"e or "e Most Americans voted Bush"e (as it stands). Natural language(NL)quanti erslike"e all"e ,"e almostall"e ,"e many"e 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 "e Most Americans voted Bush"e asserts that the set of voters of George W. Bush c- prisesthemajorityofAmericans,while"e Bushsneezes"e 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 "e tall"e , and they frequently refer to fuzzy quantities in agreement like "e about ten"e , "e almost all"e , "e many"e 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]. Englisch, Ebook.
Fuzzy Quantifiers
ISBN: 9783540325031 bzw. 3540325034, in Deutsch, Springer Berlin Heidelberg, Taschenbuch, neu.
Fuzzy Quantifiers (2008)
ISBN: 9783540325031 bzw. 3540325034, in Deutsch, Springer, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Fuzzy Quantifiers
ISBN: 9783540325031 bzw. 3540325034, in Deutsch, Springer Shop, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen