<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-23T00:22:59Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/21500" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/21500</identifier><datestamp>2025-03-26T16:41:31Z</datestamp><setSpec>com_10324_1146</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1262</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>García Lapresta, José Luis</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Pérez Román, David</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2016-12-09T13:45:00Z</mods:dateAvailable>
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<mods:extension>
<mods:dateAccessioned encoding="iso8601">2016-12-09T13:45:00Z</mods:dateAccessioned>
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<mods:originInfo>
<mods:dateIssued encoding="iso8601">2015</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Applied Soft Computing, 2015, vol. 35, p. 864–872</mods:identifier>
<mods:identifier type="issn">1568-4946</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/21500</mods:identifier>
<mods:identifier type="doi">10.1016/j.asoc.2015.02.035</mods:identifier>
<mods:identifier type="publicationfirstpage">864</mods:identifier>
<mods:identifier type="publicationlastpage">872</mods:identifier>
<mods:identifier type="publicationtitle">Applied Soft Computing</mods:identifier>
<mods:identifier type="publicationvolume">35</mods:identifier>
<mods: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.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
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<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 International</mods:accessCondition>
<mods:subject>
<mods:topic>Decision making</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Ordinal proximity measures in the context of unbalanced qualitativescales and some applications to consensus and clustering</mods:title>
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<mods:genre>info:eu-repo/semantics/article</mods:genre>
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