Application of multi-criteria decision-making method based on improved grade Z-number in site selection of new energy vehicles charging stations

Abstract

Due to the imbalance of supply and demand in charging infrastructure, as well as unreasonable layout and other issues, the further development of New Energy Vehicles is restricted. However, many investment decision-makers lack effective theoretical guidance. Therefore, this paper proposes a Criteria Importance Though Intercrieria Correlation-Combinative Distance-based Assessment multi-criteria decision making framework based on an improved Grade Z-number to select the optimal charging station. Sometimes experts may not be able to provide an accurate value of Z-number, and it is more practical to require them to give evaluations in the form of grades, reflecting the reliability of the evaluations in various life scenarios. At the same time, due to the influence of an expert's personal educational background, knowledge, and personality, this paper overlook the individual differences among experts in our calculations, resulting in each expert being assigned the same decision-making weight, which does not reflect the complexity of actual decision-making. Hence, this paper introduces an objective method for calculating the weight of experts based on the evaluation information they provide, making the process more scientific and reasonable, and the final ranking results more convincing. Through comparative analysis, the proposed framework demonstrates its applicability to solving practical problems and its ability to produce reasonable and effective outcomes.