<?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>2026-04-14T16:56:37Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/21577" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/21577</identifier><datestamp>2025-01-29T09:45:06Z</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>Molpeceres Abellá, María Mercedes</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García Lapresta, José Luis</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2016-12-13T10:20:06Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2016-12-13T10:20:06Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2016</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2016, 24 (suppl. 1), p. 63-85</mods:identifier>
<mods:identifier type="issn">0218-4885</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/21577</mods:identifier>
<mods:identifier type="doi">10.1142/S0218488516400043</mods:identifier>
<mods:identifier type="publicationtitle">International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, forthcoming</mods:identifier>
<mods:abstract>In this paper, we analyze the correspondence among the rankings of the Spanish regions&#xd;
according to di_erent measures of monetary poverty and quality of life, in 2012. To do&#xd;
that, the Spearman's rank correlation coe_cient is used. Di_erent aggregation methods&#xd;
are applied to calculate the selected measures of poverty and quality of life. The monetary&#xd;
poverty measures aggregate the income gaps, while the quality of life measures aggregate&#xd;
a set of social indicators dealing with ten di_erent domains. In both cases, among other&#xd;
traditional aggregation procedures, the exponential mean is used because its properties&#xd;
are especially adequate in these contexts.</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>Quality of life</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Quality of life and poverty: measurement and comparability</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>