Using the COMET Method in the Sustainable City Transport Problem: an Empirical Study of the Electric Powered Cars

Wojciech Sałabun · Artur Karczmarczyk

70 citations0/0 files storedProcedia Computer Science

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Multi-Criteria Decision Making Electric Vehicles and Infrastructure Evaluation Methods in Various Fields

Abstract

This paper investigates the problem of sustainable city transport. The significance of this problem is increasing, considering the inevitable increase of air pollution levels in cities. Currently, cars with diesel engines are not admitted to many city centers, and this trend can be expected to be maintained. Moreover, this restriction will be expanded to all combustion cars in the foreseeable future. Therefore, combustion vehicles will eventually be replaced by electric ones. In this paper, the authors use the Characteristic Objects METhod (COMET) to identify a decision-making model for the selection of the best model of car for sustainable city transport. The COMET method is a new approach that is free of the rank reversal phenomenon. The identified model provides information about the significance level of each of the criteria. The presented approach can easily be expanded by using a greater number of criteria and alternatives, depending on the specification of the considered problem. Moreover, the interval numbers concept is proposed as the basic approach to dealing with input data uncertainty by using the COMET method. The presented technique is an efficient and highly accurate approach to make decisions based on experts’ experience.

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References

1965Fuzzy sets 1996Fuzzy sets 2008Decision making with the analytic hierarchy process 1990How to make a decision: The analytic hierarchy process 2005Multiple Criteria Decision Analysis: State of the Art Surveys 2000Extensions of the TOPSIS for group decision-making under fuzzy environment 1985Note—A Preference Ranking Organisation Method 2000Multi-criteria Decision Making Methods: A Comparative Study

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2020Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland 2021Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods 2021STUDY TOWARDS THE TIME-BASED MCDA RANKING ANALYSIS – A SUPPLIER SELECTION CASE STUDY 2021Multi-criteria approach to stochastic and fuzzy uncertainty in the selection of electric vehicles with high social acceptance 2018Decision-Making using the Hesitant Fuzzy Sets COMET Method: An Empirical Study of the Electric City Buses Selection

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