TY - JFULL AU - C. Ardil PY - 2023/3/ TI - Composite Programming for Electric Passenger Car Selection in Multiple Criteria Decision Making T2 - International Journal of Transport and Vehicle Engineering SP - 47 EP - 54 VL - 17 SN - 1307-6892 UR - https://publications.waset.org/pdf/10012954 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 194, 2023 N2 - This paper discusses the use of the composite programming method to identify the optimum electric passenger automobile in multiple criteria decision making. With the composite programming approach, a set of alternatives are compared using an optimality measure that gauges how far apart they are from the optimum solution. In this paper, some key factors (range, battery, engine, maximum speed, acceleration) that customers should consider while purchasing an electric passenger car for daily use are discussed. A numerical illustration is provided to demonstrate the validity and applicability of the proximity measure approach ER -