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<dc:title>An ordinal multi-criteria decision-making procedure under imprecise linguistic assessments</dc:title>
<dc:creator>García Lapresta, José Luis</dc:creator>
<dc:creator>González del Pozo, Raquel</dc:creator>
<dc:subject>Multi-criteria analysis</dc:subject>
<dc:subject>Análisis multicriterio</dc:subject>
<dc:subject>Group decision-making</dc:subject>
<dc:subject>Toma de decisiones grupales</dc:subject>
<dc:subject>Qualitative scale</dc:subject>
<dc:subject>Escala cualitativa</dc:subject>
<dc:description>Producción Científica</dc:description>
<dc:description>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.</dc:description>
<dc:description>Ministerio de Economía, Industria y Competitividad  (project ECO2016-77900-P )</dc:description>
<dc:description>European Regional Development Fund (ERDF)</dc:description>
<dc:date>2019-05-24T11:22:25Z</dc:date>
<dc:date>2019-05-24T11:22:25Z</dc:date>
<dc:date>2019</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>European Journal of Operational Research, 2019,&#xd;
Volume 279, Issue 1, Pages 159-167</dc:identifier>
<dc:identifier>0377-2217</dc:identifier>
<dc:identifier>http://uvadoc.uva.es/handle/10324/36090</dc:identifier>
<dc:identifier>10.1016/j.ejor.2019.05.015</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>https://www.sciencedirect.com/science/article/pii/S0377221719304199</dc:relation>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>© 2019 Elsevier</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Elsevier</dc:publisher>
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<europeana:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</europeana:rights>
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