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   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/5676">
      <dc:title>A consensus model for group decision making problems with unbalanced fuzzy linguistic information</dc:title>
      <dc:creator>Cabrerizo, F.J.</dc:creator>
      <dc:creator>Alonso, S.</dc:creator>
      <dc:creator>Herrera Viedma, Enrique</dc:creator>
      <dc:subject>Fuzzy linguistic modeling</dc:subject>
      <dc:subject>Unbalanced linguistic term set</dc:subject>
      <dc:subject>Group decision making</dc:subject>
      <dc:subject>Consensus</dc:subject>
      <dc:description>Most group decision making problems based on linguistic approaches use symmetrically&#xd;
and uniformly distributed linguistic term sets to express experts opinions. However,&#xd;
there exist problems whose assessments need to be represented by means of unbalanced&#xd;
linguistic term sets, i.e., using term sets which are not uniformly and symmetrically distributed.&#xd;
The aim of this paper is to present a consensus model for group decision making&#xd;
problems with unbalanced fuzzy linguistic information. This consensus model is based on&#xd;
both a fuzzy linguistic methodology to deal with unbalanced linguistic term sets and two&#xd;
consensus criteria, consensus degrees and proximity measures. To do so, we use a new&#xd;
fuzzy linguistic methodology improving another approach to manage unbalanced fuzzy&#xd;
linguistic information,1 which uses the linguistic 2-tuple model as representation base&#xd;
of unbalanced fuzzy linguistic information. In addition, the consensus model presents a&#xd;
feedback mechanism to help experts for reaching the highest degree of consensus possible.&#xd;
There are two main advantages provided by this consensus model. Firstly, its ability to&#xd;
cope with group decision making problems with unbalanced fuzzy linguistic information&#xd;
overcoming the problem of finding different discrimination levels in linguistic term sets.&#xd;
And, secondly, it supports the consensus process automatically, avoiding the possible&#xd;
subjectivity that the moderator can introduce in this phase.</dc:description>
      <dc:date>2010-10-19T06:19:11Z</dc:date>
      <dc:date>2010-10-19T06:19:11Z</dc:date>
      <dc:date>2009</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:identifier>F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, A Consensus Model for Group Decision Making Problems with Unbalanced Fuzzy Linguistic Information. International Journal of Information Technology &amp; Decision Making, 8:1 (2009), 109-131</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/5676</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/</dc:rights>
      <dc:rights>Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License</dc:rights>
   </ow:Publication>
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