Advances in Fuzzy Implication Functions

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Baczyński, Michał (Επιμελητής έκδοσης), Beliakov, Gleb (Επιμελητής έκδοσης), Bustince Sola, Humberto (Επιμελητής έκδοσης), Pradera, Ana (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Fuzziness and Soft Computing, 300
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.