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      <dc:title>Removing redundancy for attribute implications in data with grades</dc:title>
      <dc:creator>Mora-Bonilla, Ángel</dc:creator>
      <dc:creator>Rodríguez-Lorenzo, Estrella</dc:creator>
      <dc:creator>Cordero-Ortega, Pablo</dc:creator>
      <dc:creator>Enciso-García-Oliveros, Manuel</dc:creator>
      <dc:subject>Lógica Difusa</dc:subject>
      <dc:description>Reasoning with if-then rules –in particular, with those taking from of implications between&#xd;
conjunctions of attributes– is crucial in many disciplines ranging from theoretical computer&#xd;
science to applications. One of the most important problems regarding the rules is to remove&#xd;
redundancies in order to obtain equivalent implicational sets with lower size.</dc:description>
      <dc:date>2016-05-30T12:18:10Z</dc:date>
      <dc:date>2016-05-30T12:18:10Z</dc:date>
      <dc:date>2016</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>http://hdl.handle.net/10630/11533</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>ESTYLF 2016</dc:relation>
      <dc:relation>SAN SEBASTIAN</dc:relation>
      <dc:relation>25/5/2016</dc:relation>
      <dc:rights>open access</dc:rights>
      <dc:rights>by-nc-nd</dc:rights>
      <dc:publisher>Cristina Alcalde, Humberto Bustince, Francisco Javier Fernández</dc:publisher>
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