Electric Vehicle Selection by Using Fuzzy SMART

Global warming is disturbing both the environment and quality of life. A cause of global warming is greenhouse gas (GHG) emissions which are caused by using fossil fuels for transportation and power generation. As a novel source of energy, the world is moving towards renewable and clean energy. In the transportation sector, usage of electric vehicles supports decreasing GHG emissions. As a result, we face a new decision problem about the selection of electric vehicles. The electric vehicle selection problem is a multicriteria decision-making problem that includes various criteria and alternatives. The criteria considered within the scope of the problem may involve objective criteria such as max speed and subjective criteria such as the design of the car. In this study, we propose Fuzzy SMART (Simple Multi Attribute Rating Technique) as an extension of the crisp SMART method. With the proposed method both crisp and imprecise criteria can be integrated within a decision problem. In this study, we construct a sample decision model for the electric vehicle selection problem and solve it by using the proposed Fuzzy SMART method.

Automated summary

Global warming is causing environmental and quality of life disruptions, largely due to greenhouse gas emissions. Electric vehicles are seen as a solution to reduce these emissions. However, the selection of electric vehicles involves multiple criteria and alternatives, and this study proposes a fuzzy SMART method to address this decision problem.