Advances in Fuzzy Implication Functions

Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. These functions are not only fundamental for fuzzy logic systems, fuzzy...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Baczyński, Michał (Editor ), Beliakov, Gleb (Editor ), Bustince Sola, Humberto (Editor ), Pradera, Ana (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Fuzziness and Soft Computing, 300
Temas:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Overview of Construction Methods of Fuzzy Implications
  • Fuzzy Implications: Classification and a New Class
  • A Survey of the Distributivity of Implications over Continuous T-norms and the Simultaneous Satisfaction of the Contrapositive Symmetry
  • Implication Functions in Interval-valued Fuzzy Set Theory
  • (S;N)-Implications on Bounded Lattices
  • Implication Functions Generated Using Functions of one Variable
  • Compositions of Fuzzy Implications
  • Fuzzy Implications: Some Recently Solved Problems.

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