By Jorge Casillas, O. Cordón, Francisco Herrera Triguero, Luis Magdalena
Fuzzy modeling often comes with contradictory specifications: interpretability, that is the aptitude to precise the true procedure habit in a understandable manner, and accuracy, that is the potential to faithfully characterize the true approach. during this framework, the most vital components is linguistic fuzzy modeling, the place the legibility of the received version is the most goal. This activity is generally constructed via linguistic (Mamdani) fuzzy rule-based platforms. An energetic learn zone is orientated in the direction of using new ideas and buildings to increase the classical, inflexible linguistic fuzzy modeling with the most objective of accelerating its precision measure. often, this accuracy development has been performed with no contemplating the corresponding interpretability loss. at the moment, new traits were proposed attempting to defend the linguistic fuzzy version description strength in the course of the optimization approach. Written through best specialists within the box, this quantity collects a few consultant researcher that pursue this strategy.
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Additional resources for Accuracy Improvements in Linguistic Fuzzy Modeling
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