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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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Baczyński, Michał (Éditeur intellectuel), Beliakov, Gleb (Éditeur intellectuel), Bustince Sola, Humberto (Éditeur intellectuel), Pradera, Ana (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Collection:Studies in Fuzziness and Soft Computing, 300
Sujets:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Accès en ligne:Texto Completo
Table des matières:
  • 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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