000124463 001__ 124463
000124463 005__ 20241125101151.0
000124463 0247_ $$2doi$$a10.1016/j.inffus.2022.08.019
000124463 0248_ $$2sideral$$a132853
000124463 037__ $$aART-2023-132853
000124463 041__ $$aeng
000124463 100__ $$0(orcid)0000-0001-7914-2623$$aSáenz-Royo, Carlos$$uUniversidad de Zaragoza
000124463 245__ $$aIntentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances
000124463 260__ $$c2023
000124463 5060_ $$aAccess copy available to the general public$$fUnrestricted
000124463 5203_ $$aExpert'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.
000124463 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2019-103880RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/CREVALOR$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2017-86305-C4-3-R
000124463 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000124463 590__ $$a14.8$$b2023
000124463 592__ $$a5.647$$b2023
000124463 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b2 / 144 = 0.014$$c2023$$dQ1$$eT1
000124463 593__ $$aHardware and Architecture$$c2023$$dQ1
000124463 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b4 / 197 = 0.02$$c2023$$dQ1$$eT1
000124463 593__ $$aSoftware$$c2023$$dQ1
000124463 593__ $$aSignal Processing$$c2023$$dQ1
000124463 593__ $$aInformation Systems$$c2023$$dQ1
000124463 594__ $$a33.2$$b2023
000124463 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000124463 700__ $$aChiclana, Francisco
000124463 700__ $$aHerrera-Viedma, Enrique
000124463 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000124463 773__ $$g89 (2023), 254-266$$pInformation Fusion$$tInformation Fusion$$x1566-2535
000124463 8564_ $$s687803$$uhttps://zaguan.unizar.es/record/124463/files/texto_completo.pdf$$yVersión publicada
000124463 8564_ $$s2573246$$uhttps://zaguan.unizar.es/record/124463/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000124463 909CO $$ooai:zaguan.unizar.es:124463$$particulos$$pdriver
000124463 951__ $$a2024-11-22-12:07:02
000124463 980__ $$aARTICLE