2008, ISBN: 9783540325031

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 e… Mehr…

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?erslikeall,almostall,manyetc. 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,whileBushsneezesonlytellsussomething 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]. A Computational Theory eBook PDF 11.08.2008 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen, Springer, .200<

ISBN: 9783540325031

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” w… Mehr…

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]. Books > Engineering eBook, Springer Shop<

ISBN: 9783540325031

Engineering; Mathematical and Computational Engineering; Artificial Intelligence; Computational Linguistics Extension, Fuzzy Quantifiers, Fuzzy Set Theory, Gloeckner, Linguistic Quantifie… Mehr…

Engineering; Mathematical and Computational Engineering; Artificial Intelligence; Computational Linguistics Extension, Fuzzy Quantifiers, Fuzzy Set Theory, Gloeckner, Linguistic Quantifiers, Natural Lanuage Processing, communication, construction, fuzzy, fuzzy set, logic, model, natural language Books eBook, Springer Shop<

2008, ISBN: 9783540325031

A Computational Theory, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2008

ISBN: 9783540325031

Fuzzy Quantifiers ab 178.49 EURO A Computational Theory Medien > Bücher, [PU: Springer, Berlin/Heidelberg]