Location Selection of Low-carbon Logistics Park Based on the Neutrosophic Numbers Multiple Attribute Decision Making

Abstract

With the continuous advancement of science and technology, the decision-making environment faced by managers is increasingly complex, which puts forward higher requirements for managers. Due to the complexity of the multi-attribute decision-making problem, it is difficult for the decision-maker to make the correct choice. In addition, due to the influence of the educational background and limited knowledge of the managers, it is impossible to evaluate with simple statistical data. In essence, the location problem of lowcarbon logistics parks is a MADM problem. Therefore, this paper establishes an optimization
model to solve the multiple-attribute decision-making (MADM) problem with alternative preference and single-valued neutrosophic (SVN) information. Considering that the information of weight is unknown, a scientific model is built based on the minimum deviation method deriving the criterion weight. Furthermore, the above models and methods are extended to interval neutrosophic sets (INs). To verify the validity of the modified model, a numerical case for low-carbon logistics park site selection is taken as an example. Through the case study, we found that the method has strong operability and can make the most of the available information.