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      <dc: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</dc:title>
      <dc:creator>Fazzolari, Michela</dc:creator>
      <dc:contributor>Herrera Triguero, Francisco</dc:contributor>
      <dc:contributor>Alcalá Fernández, Rafael</dc:contributor>
      <dc:contributor>Universidad de Granada. Departamento de Ciencias de la Computación e Inteligencia Artificial</dc:contributor>
      <dc:subject>Lógica difusa</dc:subject>
      <dc:subject>Informática</dc:subject>
      <dc:subject>Algoritmos evolutivos multi-objetivos</dc:subject>
      <dc:subject>Sistemas basados en reglas difusas (SBRDs)</dc:subject>
      <dc:subject>Recuperación de información</dc:subject>
      <dc:date>2014-04-22T09:47:44Z</dc:date>
      <dc:date>2014-04-22T09:47:44Z</dc:date>
      <dc:date>2014</dc:date>
      <dc:date>2013-11-29</dc:date>
      <dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
      <dc:identifier>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]</dc:identifier>
      <dc:identifier>9788490288993</dc:identifier>
      <dc:identifier>D.L.: GR 708-2014</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/31335</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:rights>Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License</dc:rights>
      <dc:publisher>Universidad de Granada</dc:publisher>
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