A Novel Three-Way Decision-Making Method for Logistics Enterprises’Carbon Trading Considering Attribute Reduction and Hesitation Degree

Currently, under the background of carbon trading policy, carbon dioxide is given commodity properties for market trading within carbon trading policy. Relevant data show that in recent years, logistics enterprises have been facing continuously growing demand, and carbon emissions have continuously increased; therefore, enterprises urgently need to strengthen their green transformation. Scientific and rational decision-making tools play a very meaningful role in helping companies improve their competitiveness. In this context, a new three-way decision-making model based on attribute reduction and hesitation degree is proposed. First, attribute reduction is performed. The attributes of three different types of logistics enterprises are simplified according to the carbon emission evaluation attributes proposed in this paper to find their respective minimum attribute sets. Then, the decision matrix and loss function matrix considering the hesitation degree are established, the conditional probability is calculated using the intuitionistic fuzzy similarity, and the probability threshold is calculated using the loss function matrix considering the hesitation degree. Finally, case studies and comparative analysis are conducted to illustrate the practicality and rationality of the proposed method