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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.inffus.2022.08.019</dc:identifier><dc:language>eng</dc:language><dc:creator>Sáenz-Royo, Carlos</dc:creator><dc:creator>Chiclana, Francisco</dc:creator><dc:creator>Herrera-Viedma, Enrique</dc:creator><dc:title>Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances</dc:title><dc:identifier>ART-2023-132853</dc:identifier><dc:description>Expert's judgments have been crucial in the development of decision theory; however, what criterion to use in the selection of experts remains an issue to address. Decision support techniques proposed to improve the quality of expert judgment decision making consider a demonstrated inconsistency of the judgments expressed by an expert as a criterion of exclusion in the decision-making process of such expert. Although consistency appears to be a desirable condition to qualify as “expert”, little is known about the quality of the decisions made imposing consistency as the expert qualifying condition. This paper proposes a simulation methodology, based on an automaton programmed to make decisions in an intended but bounded rational way, to assess the cost-benefit of different aspects of decision support techniques. Within this methodology, the imposition of the consistency condition in the selection of experts is studied. In particular, the paper shows with a case study example that the Analytical hierarchy process (AHP) decision support technique expected payoff is at most 5% higher when implementing Saaty's consistency criterion of the expert's judgments than when the consistency criterion is not considered.</dc:description><dc:date>2023</dc:date><dc:source>http://zaguan.unizar.es/record/124463</dc:source><dc:doi>10.1016/j.inffus.2022.08.019</dc:doi><dc:identifier>http://zaguan.unizar.es/record/124463</dc:identifier><dc:identifier>oai:zaguan.unizar.es:124463</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/AEI/PID2019-103880RB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/CREVALOR</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/ECO2017-86305-C4-3-R</dc:relation><dc:identifier.citation>Information Fusion 89 (2023), 254-266</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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