@inbook {Cord{\'o}n2003,
	title = {A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems},
	booktitle = {Interpretability Issues in Fuzzy Modeling},
	year = {2003},
	pages = {79{\textendash}99},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {In this contribution, we propose a genetic process to select an appropiate set of features in a Fuzzy Rule-Based Classification System (FRBCS) and to automatically learn the whole Data Base definition using a non linear scaling function to adapt the fuzzy partition contexts and determining an appropiate granularity for each of them. An ad-hoc data covering learning method is considered to obtain the Rule Base. The method uses a multiobjective genetic algorithm in order to obtain a good trade-off between accuracy and interpretability.},
	isbn = {978-3-540-37057-4},
	doi = {10.1007/978-3-540-37057-4_4},
	url = {https://doi.org/10.1007/978-3-540-37057-4_4},
	author = {O. Cord{\'o}n and M. J. del Jesus and F. Herrera and Magdalena, Luis and Villar, Pedro},
	editor = {Casillas, Jorge and O. Cord{\'o}n and F. Herrera and Magdalena, Luis}
}
@conference {741,
	title = {Utilizaci{\'o}n de Algoritmos Gen{\'e}ticos Multiobjetivos para la Selecci{\'o}n de Caracter{\'\i}sticas y Dise{\~n}o de la Base de Conocimiento de un Sistema de Clasificaci{\'o}n Basado en Reglas Difusas},
	booktitle = {Congreso Espa{\~n}ol sobre Tecnolog{\'\i}as y L{\'o}gica Fuzzy},
	year = {2002},
	month = {01},
	address = {Le{\'o}n (Espa{\~n}a)},
	author = {O. Cord{\'o}n and F. Herrera and del Jesus D{\'\i}az, Mar{\'\i}a Jos{\'e} and Magdalena, Luis and A.M. S{\'a}nchez and Villar, Pedro}
}
@inbook {Cord{\'o}n2000,
	title = {Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling},
	booktitle = {Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications},
	year = {2000},
	pages = {189{\textendash}221},
	publisher = {Springer US},
	organization = {Springer US},
	address = {Boston, MA},
	abstract = {Nowadays, Linguistic Modeling is considered as one of the most important applications of Fuzzy Set Theory, along with Fuzzy Control. Linguistic models have the advantage of providing a human-readable description of the system modeled in the form of a set of linguistic rules. In this contribution, we will analyze several approaches to improve the accuracy of linguistic models while maintaining their descriptive power. All these approaches will share the common idea of improving the way in which the Fuzzy Rule-Based System performs interpolative reasoning by improving the cooperation between the rules in the linguistic model Knowledge Base.},
	isbn = {978-1-4615-4513-2},
	doi = {10.1007/978-1-4615-4513-2_9},
	url = {https://doi.org/10.1007/978-1-4615-4513-2_9},
	author = {O. Cord{\'o}n and F. Herrera and M. J. del Jesus and Villar, Pedro and Zwir, Igor},
	editor = {Ruan, Da and Kerre, Etienne E.}
}
