Effect of aggregation methods in fuzzy technique for prioritization of criteria of automated vehicle system
Marmar Mehrparvar, Jüri Majak, Kristo Karjust · AIP conference proceedings · 2024
The purpose of this study is to explore different methods to aggregate the expert's decisions on the criteria prioritization as one of the steps in the fuzzy technique.The case study is an Automated vehicle, the TalTech iseAuto Av shuttle.In the current formulation, the prioritization of the criteria is based on the fuzzy analytic hierarchy process (AHP) in which the max-min method with geometric and arithmetic mean is used as the aggregation for the composition of the expert's decisions.Accordingly, the aggregation of weights and priorities is done with geometric and arithmetic mean.After obtaining the weights and ranking the priorities the results are compared with previous studies to evaluate the difference that choosing the aggregation method can make.