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<dc:title>Ordinal proximity measures in the context of unbalanced qualitativescales and some applications to consensus and clustering</dc:title>
<dc:creator>García Lapresta, José Luis</dc:creator>
<dc:creator>Pérez Román, David</dc:creator>
<dc:subject>Decision making</dc:subject>
<dcterms:abstract>In this paper, we introduce ordinal proximity measures in the setting of unbalanced qualitative scales by comparing the proximities between linguistic terms without numbers, in a purely ordinal approach. With this new tool, we propose how to measure the consensus in a set of agents when they assess a set of alternatives through an unbalanced qualitative scale. We also introduce an agglomerative hierarchical clustering procedure based on these consensus measures.</dcterms:abstract>
<dcterms:dateAccepted>2016-12-09T13:45:00Z</dcterms:dateAccepted>
<dcterms:available>2016-12-09T13:45:00Z</dcterms:available>
<dcterms:created>2016-12-09T13:45:00Z</dcterms:created>
<dcterms:issued>2015</dcterms:issued>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Applied Soft Computing, 2015, vol. 35, p. 864–872</dc:identifier>
<dc:identifier>1568-4946</dc:identifier>
<dc:identifier>http://uvadoc.uva.es/handle/10324/21500</dc:identifier>
<dc:identifier>10.1016/j.asoc.2015.02.035</dc:identifier>
<dc:identifier>864</dc:identifier>
<dc:identifier>872</dc:identifier>
<dc:identifier>Applied Soft Computing</dc:identifier>
<dc:identifier>35</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>http://www.sciencedirect.com</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:publisher>Elsevier</dc:publisher>
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