<?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>2026-04-14T19:30:26Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/21574" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/21574</identifier><datestamp>2021-06-23T10:05:52Z</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">2016-12-13T09:41:38Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2016-12-13T09:41:38Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2016</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Fuzzy Optimization and Decision Making: A Journal of Modeling and Computation Under Uncertainty, 2016, p. 1-13</mods:identifier>
<mods:identifier type="issn">1573-2908</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/21574</mods:identifier>
<mods:identifier type="doi">10.1007/s10700-016-9256-6</mods:identifier>
<mods:identifier type="publicationfirstpage">1</mods:identifier>
<mods:identifier type="publicationlastpage">13</mods:identifier>
<mods:identifier type="publicationtitle">Fuzzy Optimization and Decision Making</mods:identifier>
<mods:abstract>In this paper, we consider that a group of agents judge a set of alternatives by&#xd;
means of an ordered qualitative scale. The scale is not assumed to be uniform,&#xd;
i.e., the psychological distance between adjacent linguistic terms is not necessarily&#xd;
always the same. In this setting, we propose how to measure the consensus in&#xd;
each subset of at least two agents over each subset of alternatives. We introduce&#xd;
a consensus reaching process where some agents may be invited to change their&#xd;
assessments over some alternatives in order to increase the consensus. All the&#xd;
steps are managed in a purely ordinal way through ordinal proximity measures.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<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>Group decision-making</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>A consensus reaching process in the context of non-uniform ordered qualitative scales</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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