INFLUENCE, RELEVANCE AND DISCORDANCE OF CRITERIA IN AHP-GLOBAL BAYESIAN PRIORITIZATION

Alfredo Altuzarra (), Pilar Gargallo (), José María Moreno-Jiménez () and Manuel Salvador ()
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Alfredo Altuzarra: Zaragoza Multicriteria Decision Making Group, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain
Pilar Gargallo: Zaragoza Multicriteria Decision Making Group, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain
José María Moreno-Jiménez: Zaragoza Multicriteria Decision Making Group, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain
Manuel Salvador: Zaragoza Multicriteria Decision Making Group, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005 Zaragoza, Spain

International Journal of Information Technology & Decision Making (IJITDM), 2013, vol. 12, issue 04, 837-861

Abstract: This work extends the AHP-Bayesian Prioritization procedure proposed by the authors for a local context (a single criterion) to a global context (a hierarchy) and presents a taxonomy of criteria that contribute to the ranking of the alternatives. In this global context, the paper defines and characterizes: (i) theinfluenceof a criterion in the final prioritization of the alternatives by means of cross-validation techniques; (ii) its degree ofdiscordancewith the rest of the criteria of the hierarchy utilizing new discrepancy measures; (iii) itsrelevancein the final decision. Along with the taxonomy and its corresponding methodology, the paper introduces new decisional tools for the establishment of the classification and demonstrates their use from a cognitive perspective (knowledge extraction) whilst paying special attention to the resolution of theP.αandP.γproblems. The proposed methodology is illustrated by a case study on an e-participation process developed for the Zaragoza City Council (Spain) and implemented by the Zaragoza Multicriteria Decision Making Group.

Keywords: Multicriteria; AHP; Bayesian prioritization; global context; influence; relevance; discordance; cognitive approach (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219622013500314

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