<?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>2026-04-14T13:21:44Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/36090" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/36090</identifier><datestamp>2025-03-26T19:10:03Z</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>González del Pozo, Raquel</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2019-05-24T11:22:25Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2019-05-24T11:22:25Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2019</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">European Journal of Operational Research, 2019,&#xd;
Volume 279, Issue 1, Pages 159-167</mods:identifier>
<mods:identifier type="issn">0377-2217</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/36090</mods:identifier>
<mods:identifier type="doi">10.1016/j.ejor.2019.05.015</mods:identifier>
<mods:abstract>Many decision-making problems such as quality control analysis, market surveys&#xd;
or sensory analysis require ordered qualitative scales, rather than numerical&#xd;
ones. It is very common to assign some cardinal mathematical objects, such as&#xd;
numerical values, intervals of real numbers or fuzzy numbers, to the linguistic&#xd;
terms of ordered qualitative scales. However, when agents perceive that the&#xd;
psychological proximity between each pair of consecutive terms of the scale is&#xd;
not identical, these conversions are meaningless and an ordinal approach to deal&#xd;
with these non-uniform ordered qualitative scales is more appropriate. The aim&#xd;
of this paper is to introduce an ordinal multi-criteria decision-making procedure&#xd;
for ranking alternatives in the setting of ordered qualitative scales that are nonnecessarily&#xd;
uniform. The possibility of doubt is also considered, by allowing&#xd;
agents to assign two consecutive terms of the scale when they hesitate. The&#xd;
proposed procedure is applied to a real case study in which nine experts assessed&#xd;
eight wines regarding different criteria.</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">© 2019 Elsevier</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 International</mods:accessCondition>
<mods:titleInfo>
<mods:title>An ordinal multi-criteria decision-making procedure under imprecise linguistic assessments</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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