Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances

Sáenz-Royo, Carlos (Universidad de Zaragoza) ; Chiclana, Francisco ; Herrera-Viedma, Enrique

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.inffus.2022.08.019

Año: 2023

Publicado en: Information Fusion 89 (2023), 254-266
ISSN: 1566-2535

Factor impacto JCR: 14.8 (2023)

Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 2 / 144 = 0.014 (2023) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE rank: 4 / 197 = 0.02 (2023) - Q1 - T1

Factor impacto CITESCORE: 33.2 - Information Systems (Q1) - Signal Processing (Q1) - Software (Q1) - Hardware and Architecture (Q1)

Factor impacto SCIMAGO: 5.647 - Hardware and Architecture (Q1) - Software (Q1) - Signal Processing (Q1) - Information Systems (Q1)

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2019-103880RB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/CREVALOR
Financiación: info:eu-repo/grantAgreement/ES/MINECO/ECO2017-86305-C4-3-R

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Organización de Empresas (Dpto. Direcc.Organiza.Empresas)