目次: Advances in Fuzzy Implication Functions

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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書誌詳細
団体著者:	SpringerLink (Online service)
その他の著者:	Baczyński, Michał. (編集者, http://id.loc.gov/vocabulary/relators/edt), Beliakov, Gleb. (編集者, http://id.loc.gov/vocabulary/relators/edt), Bustince Sola, Humberto. (編集者, http://id.loc.gov/vocabulary/relators/edt), Pradera, Ana. (編集者, http://id.loc.gov/vocabulary/relators/edt)
フォーマット:	電子媒体 eBook
言語:	English
出版事項:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
版:	1st ed. 2013.
シリーズ:	Studies in Fuzziness and Soft Computing, 300
主題:	Computational intelligence. Artificial intelligence. Computational Intelligence. Artificial Intelligence.
オンライン･アクセス:	https://doi.org/10.1007/978-3-642-35677-3
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

目次:

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.

Advances in Fuzzy Implication Functions

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