A Bayesian priorization procedure for AHP-group decision making |
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Authors: | Alfredo Altuzarra,José Marí a Moreno-Jimé nezManuel Salvador |
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Affiliation: | Grupo Decisión Multicriterio Zaragoza, Facultad de Económicas, Universidad de Zaragoza, Spain |
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Abstract: | This paper proposes a new priorization procedure for Analytic Hierarchy Process Group Decision Making (AHP-GDM). Unlike the methods normally employed in AHP-GDM, this process does not require intermediate filters for the actors’ initial judgements. The procedure is based on a Bayesian analysis of the problem and in general, it provides more efficient estimates than the techniques conventionally applied in the literature for AHP-GDM: aggregation of individual judgements (AIJ) and aggregation of individual priorities (AIP). The proposed procedure naturally extends to the analysis of incomplete and/or imprecise pairwise comparison matrices, enhancing realism, practicality and scope. The methodology has been illustrated by the analysis of a case study. |
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Keywords: | Analytic Hierarchy Process (AHP) Group decision making Bayesian priorization procedure (BPP) MCMC Negotiation |
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