Addressing uncertainty in the framework of the analytic hierarchy process (AHP) and its general form, the analytic network process (ANP), has been a dynamic field of research for the last four to five decades. Two directions of research emerged in this domain: the simulation approach and the fuzzy set theory (FST) approach. In this paper, we propose the integration of these two approaches in the context of AHP/ANP to elucidate group decision-making problems. FST is used to handle impreciseness of judgments of individual decision-maker while simulation is used to capture uncertainty brought about by the variability and randomness in aggregating decision-makers’ judgments. These processes are applied at the level of the pairwise comparisons matrices in order to maintain the integrity of the general methodology of the AHP/ANP. The contribution of this work is on developing a methodology that addresses uncertainty both in individual and in group decision-making. The general framework and the detailed methodology are presented in this work. A simple case is used to show the computations.
:Analytic network process; Fuzzy set theory; Simulation; Uncertainty
Lanndon Ocampo, Eppie Clark, A Framework for Capturing Uncertainty of Group Decision-Making in the Context
of the AHP/ANP, Advances in Industrial Engineering and Management, Vol.3, No.3, 2014, pp.7-16, doi: 10.7508/AIEM-V3-N3-7-16
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