@conference{10272/6293,
year = {2009},
url = {http://hdl.handle.net/10272/6293},
abstract = {In 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.},
publisher = {European Society of Fuzzy Logic and Technology},
keywords = {Sistemas difusos},
title = {Rule base and inference system cooperative learning of mamdani fuzzy systems with multiobjective genetic algorithms},
doi = {10.1007/s12065-009-0026-z},
author = {Márquez Hernández, Antonio Ángel and Márquez Hernández, Francisco Alfredo and Peregrín Rubio, Antonio},
}