Article ID: | iaor19991464 |
Country: | Netherlands |
Volume: | 96 |
Issue: | 2 |
Start Page Number: | 379 |
End Page Number: | 386 |
Publication Date: | Jan 1997 |
Journal: | European Journal of Operational Research |
Authors: | Bryson Noel, Mobolurin Ayodele |
Keywords: | decision theory: multiple criteria, analytic hierarchy process |
In this paper we focus on an extension of the Analytic Hierarchy Process that accommodates ambiguity on the part of the decision maker, and facilitates the exploration of the decision domain. We propose a systematic action learning process that builds confidence as it converges from numeric interval estimates to numeric point estimates. Our Multiple Criteria Decision Making problem procedure structures the problem as a hierarchy, evaluates all objects using pairwise comparisons that accommodate vagueness and ambiguity, uses interval prioritization techniques, and does synthesis using the linear additive value function. This action learning process facilitates the understanding of key stakeholders, which is imperative for the successful implementation of the subsequent decision.