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Advances in Fuzzy Implication Functions

106,99 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18c31aa1e6f2704e07ad47f0e958158ad2
Themengebiete: Aggregation Operators Fuzzy Sets Implication Operators
Veröffentlichungsdatum: 11.01.2013
EAN: 9783642356766
Sprache: Englisch
Seitenzahl: 209
Produktart: Gebunden
Herausgeber: Baczynski, Michal Beliakov, Gleb Bustince Sola, Humberto Pradera, Ana
Verlag: Springer Berlin
Produktinformationen "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 control, approximate reasoning and expert systems, but they also play a significant role in mathematical fuzzy logic, in fuzzy mathematical morphology and image processing, in defining fuzzy subsethood measures and in solving fuzzy relational equations. This volume collects 8 research papers on fuzzy implication functions.Three articles focus on the construction methods, on different ways of generating new classes and on the common properties of implications and their dependencies. Two articles discuss implications defined on lattices, in particular implication functions in interval-valued fuzzy set theories. One paper summarizes the sufficient and necessary conditions of solutions for one distributivity equation of implication. The following paper analyzes compositions based on a binary operation * and discusses the dependencies between the algebraic properties of this operation and the induced sup-* composition. The last article discusses some open problems related to fuzzy implications, which have either been completely solved or those for which partial answers are known. These papers aim to present today’s state-of-the-art in this area.

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