Advances in Fuzzy Implication Functions

• Corporate Author: SpringerLink (Online service)
• Other Authors: Baczyński, Michał (Editor), Beliakov, Gleb (Editor), Bustince Sola, Humberto (Editor), Pradera, Ana (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Fuzziness and Soft Computing, 300
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...