2020/11/16 by Uwe Aickelin, Jenna Reps, Aickelin, Uwe +5
Decision Sciences · #Artificial Intelligence (cs.AI) #Computational Engineering #Construction Project Management and Performance #FOS: Computer and information sciences #Finance #and Science (cs.CE)
paper · pdf · doi:10.48550/arxiv.2011.09891
openalex created_date 2017/09/25 · openalex publication_date 2020/11/16 · openalex updated_date 2026/07/28
In this paper, we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multicriteria analysis with the help of discrete event simulation. The simulation guided multicriteria analysis can include both monetary and non-monetary criteria that are static or dynamic, whereas standard multi criteria analysis only deals with static criteria and cost benefit analysis only deals with static monetary criteria. The dynamic and uncertain criteria are incorporated by using simulation to explore how the decision options perform. The results of the simulation are then fed into the multicriteria analysis. By enabling the incorporation of dynamic and uncertain criteria, the dynamic multiple criteria analysis was able to take a unique perspective of the problem. The highest ranked option returned by the dynamic multicriteria analysis differed from the other decision aid techniques.