124463 20241125101151.0 doi 10.1016/j.inffus.2022.08.019 sideral 132853 ART-2023-132853 eng Sáenz-Royo, Carlos Universidad de Zaragoza (orcid)0000-0001-7914-2623 Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances 2023 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/AEI/PID2019-103880RB-I00 info:eu-repo/grantAgreement/ES/DGA/CREVALOR info:eu-repo/grantAgreement/ES/MINECO/ECO2017-86305-C4-3-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 14.8 2023 COMPUTER SCIENCE, THEORY & METHODS 2 / 144 = 0.014 2023 Q1 T1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 4 / 197 = 0.02 2023 Q1 T1 5.647 2023 Hardware and Architecture 2023 Q1 Software 2023 Q1 Signal Processing 2023 Q1 Information Systems 2023 Q1 33.2 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Chiclana, Francisco Herrera-Viedma, Enrique 4012 650 Universidad de Zaragoza Dpto. Direcc.Organiza.Empresas Área Organización de Empresas 89 (2023), 254-266 Information Fusion Information Fusion 1566-2535 687803 http://zaguan.unizar.es/record/124463/files/texto_completo.pdf Versión publicada 2573246 http://zaguan.unizar.es/record/124463/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:124463 articulos driver 2024-11-22-12:07:02 ARTICLE