Accuracy Improvements in Linguistic Fuzzy Modeling, 2003, 385 pages, JorgeCasillas, 3540029338, 9783540029335, Springer, 2003

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Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is thecapability to express the real system behavior in a comprehensible way, and accuracy, which is thecapability to faithfully represent the real system. In this framework, one of the most importantareas 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. Anactive research area is oriented towards the use of new techniques and structures to extend theclassical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree.Traditionally, this accuracy improvement has been carried out without considering thecorresponding interpretability loss. Currently, new trends have been proposed trying to preservethe linguistic fuzzy model description power during the optimization process. Written by leadingexperts in the field, this volume collects some representative researcher that pursue this approach.

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