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Advances in Fuzzy Implication Functions (Studies in Fuzziness and Soft Computing)
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... | | | | Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems
Fuzzy systems and neural networks have attracted the growing interest of researchers, scientists,
engineers, practitioners, and students in various scientific and engineering areas.
Fuzzy sets and fuzzy logic are based on the way the brain deals with inexact information,
while neural networks (or artificial neural networks) are modeled... |
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