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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/31335

Title: Study and design of multi-objective evolutionary fuzzy systems for improving the interpretability accuracy trade off of linguistic fuzzy rule based systems when dealing with high-dimensional and large scale problems
Authors: Fazzolari, Michela
Direction: Herrera, Francisco
Alcalá Fernández, Rafael
Collaborator: Universidad de Granada. Departamento de Ciencias de la Computación e Inteligencia Artificial
Issue Date: 2014
Submitted Date: 29-Nov-2013
Sponsorship: Tesis Univ. Granada. Programa Oficial de Doctorado en: Tecnología de la Información y la Comunicación
Publisher: Universidad de Granada
Keywords: Lógica difusa
Informática
Algoritmos evolutivos multi-objetivos
Sistemas basados en reglas difusas (SBRDs)
Recuperación de información
UDC: 681.3
3304
URI: http://hdl.handle.net/10481/31335
ISBN: 9788490288993
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
Citation: Fazzolari, M. Study and design of multi-objective evolutionary fuzzy systems for improving the interpretability accuracy trade off of linguistic fuzzy rule based systems when dealing with high-dimensional and large scale problems. Granada: Universidad de Granada, 2014. 130 p. [http://hdl.handle.net/10481/31335]
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