Fuzzy Quantifiers A Computational Theory /

"Almost all", "many", "some": fuzzy quantifiers are vital for effective communication in natural language (NL). This monograph pursues an axiomatic method to achieve a reliable interpretation of these quantifiers in technical applications of fuzzy quantification. Unlike...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Glöckner, Ingo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Studies in Fuzziness and Soft Computing, 193
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Computational linguistics.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computational Linguistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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