000129421 001__ 129421
000129421 005__ 20250923084409.0
000129421 0247_ $$2doi$$a10.1016/j.eswa.2023.121922
000129421 0248_ $$2sideral$$a135651
000129421 037__ $$aART-2024-135651
000129421 041__ $$aeng
000129421 100__ $$0(orcid)0000-0001-7914-2623$$aSáenz-Royo, Carlos$$uUniversidad de Zaragoza
000129421 245__ $$aOrdering vs. AHP. Does the intensity used in the decision support techniques compensate?
000129421 260__ $$c2024
000129421 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129421 5203_ $$aThe manifestation of the intensity in the judgment of one alternative versus another in the peer comparison processes is a central element in some decision support techniques, such as the Analytical Hierarchy Process (AHP). However, its contribution regarding quality (expected performance) with respect to the priority vector has not been evaluated so far. Using the Intentional Bounded Rationality Methodology (IBRM), this work analyzes the gains obtained from requiring the decision-maker to report an intensity judgment in pairs (AHP) with respect to a technique that only requires expressing a preference (Ordering). The results show that when decision-makers have low levels of expertise, it is possible that a less informative and computational cheap technique (Ordering) performs better than a more informative and computational expensive one (AHP). When decision-makers have medium and high levels of expertise, AHP technique obtains modest gains with respect to the Ordering technique. This study proposes a cost-benefit analysis of decision support techniques contrasting the gains of a technique that requires more resources (AHP) against other that require less resources (Ordering). Our results can change the managing approach of the information obtained from experts’ judgments.
000129421 536__ $$9info:eu-repo/grantAgreement/ES/UZ/UZCUD2017-SOC-04$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2017-86305-C4-3-R$$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113338RB-I00$$9info:eu-repo/grantAgreement/ES/AEI/PID2019-103880RB-I00
000129421 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000129421 590__ $$a7.5$$b2024
000129421 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b28 / 204 = 0.137$$c2024$$dQ1$$eT1
000129421 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b7 / 106 = 0.066$$c2024$$dQ1$$eT1
000129421 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b36 / 366 = 0.098$$c2024$$dQ1$$eT1
000129421 593__ $$aArtificial Intelligence$$c2024$$dQ1
000129421 593__ $$aComputer Science Applications$$c2024$$dQ1
000129421 593__ $$aEngineering (miscellaneous)$$c2024$$dQ1
000129421 594__ $$a13.8$$b2023
000129421 592__ $$a1.854$$b2024
000129421 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000129421 700__ $$aChiclana, Francisco
000129421 700__ $$aHerrera-Viedma, Enrique
000129421 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000129421 773__ $$g238, Part D (2024), 121922$$pExpert syst. appl.$$tExpert Systems with Applications$$x0957-4174
000129421 8564_ $$s804579$$uhttps://zaguan.unizar.es/record/129421/files/texto_completo.pdf$$yVersión publicada
000129421 8564_ $$s2671850$$uhttps://zaguan.unizar.es/record/129421/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000129421 909CO $$ooai:zaguan.unizar.es:129421$$particulos$$pdriver
000129421 951__ $$a2025-09-22-14:29:19
000129421 980__ $$aARTICLE