Decision Support System for Electric Car Selection Recommendations Using the MOORA and TOPSIS Methods

Abstract

Electric vehicles are an environmentally friendly alternative compared to conventional motor vehicles. Electric vehicles do not produce exhaust emissions, which can help reduce air pollution in major cities. Additionally, electric vehicles are more energy-efficient compared to conventional motor vehicles. However, a large-scale transformation in the automotive sector towards electric vehicles in developing countries will be challenging as it requires stronger knowledge, awareness, and attitudinal changes towards electric-powered transportation. This study utilizes the Multi-Objective Optimization by Ratio Analysis (MOORA) and Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) methods to assist in complex decision-making. The criteria used in this study include price, range, charging time, battery capacity, and additional features. The study results show that using the MOORA method, the Audi e-tron GT ranks first with a preference weight of 0.1511 while using the TOPSIS method, the Wuling Air EV ranks first with a preference weight of 0.6373.