Márquez Hernández, Antonio ÁngelMárquez Hernández, Francisco AlfredoPeregrín Rubio, Antonio2013-02-052013-02-052009Márquez Hernández, A.A., Márquez Hernández, F.A., Peregrín Rubio, A.: "Rule base and inference system cooperative learning of mamdani fuzzy systems with multiobjective genetic algorithms". En: Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009978-989-95079-6-8http://hdl.handle.net/10272/6293In this paper, we present an evolutionary multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler, more compact and still accurate linguistic fuzzy models by learning fuzzy inference operators together with Rule Base. The Multiobjective Evolutionary Algorithm proposed generates a set of Fuzzy Rule Based Systems with different trade-offs between interpretability and accuracy in linguistic fuzzy modeling, allowing the designers select the one that involves the most adequate equilibrium for the desired application.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Sistemas difusosLinguistic fuzzy modelingInterpretability-accuracy trade-offMultiobjective genetic algorithmsAdaptive Inference SystemAdaptive defuzzificationRule learningconference output10.1007/s12065-009-0026-zopen access