The Analytic Hierarchy Process in an uncertain environment: A simulation approach

摘要: Abstract Traditionally, decision makers were forced to converge ambiguous judgments a single point estimate in order describe pairwise relationship between alternatives relative some criterion for use the Analytic Hierarchy Process (AHP). Since many circumstances exist which make such convergence difficult, confidence outcome of an ensuing AHP synthesis may be reduced. Likewise, when group cannot arrive at consensus regarding judgment, members simply lose overall if they lack faith judgments. The utilizes estimates derive weights criteria, sub-criteria, and govern problem. However, are difficult determine, distributions describing feasible more appropriate. Using simulation, we will demonstrate that levels can developed, expected calculated ranks determined. It also shown simulation approach is far revealing than traditional sensitivity analysis.