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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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Соавтор: SpringerLink (Online service)
Другие авторы: Baczyński, Michał. (Редактор, http://id.loc.gov/vocabulary/relators/edt), Beliakov, Gleb. (Редактор, http://id.loc.gov/vocabulary/relators/edt), Bustince Sola, Humberto. (Редактор, http://id.loc.gov/vocabulary/relators/edt), Pradera, Ana. (Редактор, http://id.loc.gov/vocabulary/relators/edt)
Формат: Электронный ресурс eКнига
Язык:English
Опубликовано: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Редактирование:1st ed. 2013.
Серии:Studies in Fuzziness and Soft Computing, 300
Предметы:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online-ссылка:https://doi.org/10.1007/978-3-642-35677-3
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Оглавление:
  • 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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