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In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces...

En el ano 2007 el grupo de investigacion del area de Ingenieria de la Universidad Juan Agustin Maza de Mendoza (Argentina), se vinculo oficialmente a la red FORCLIM, dependiente del programa CYTED 408RT0338 (http: //cyted.org/) de Espana. Este es programa un programa internacional de cooperacion cientifica y tecnologica multilateral de ambito iberoamericano. La red FORCLIM quedo conformada por grupos de investigadores de Argentina; Bolivia, Ecuador, Mexico y Espana. El intercambio de conocimientos entre estos grupos, permitio consolidar los metodos a emplear y difundir las tecnicas de estudio...

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical,...