Monte Carlo simulated data for multi-criteria selection of city and compact electric vehicles in Poland.

ABSTRACT: The data presented in this article describes a multi-criteria decision problem, where 13 criteria and 14 alternatives have been taken into account, consisting in the selection of an electric vehicle. The data set contains: (1) the parameters of the electric vehicles concerned included in the alternative performance model, (2) the weights of the criteria for assessing the vehicles, preference functions and thresholds constituting the preference model, (3) the overall performances and rankings of the alternatives (electric vehicles concerned). The data on vehicle parameters were collected from reports, catalogues and websites of car manufacturers and then processed into a decision table. In turn, data constituting various random preference models were generated using the Monte Carlo method.

SUBMITTER: Ziemba P 

PROVIDER: S-EPMC8144355 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature