In recent years,the situation of environmental pollution has been severe,and green development has attracted great attention from the government,enterprises and society.The report of the 19th National Congress of the Communist Party of China proposed to improve the environmental protection credit evaluation system and improve the information disclosure system.As an important part of society,enterprises play an irreplaceable role in ecological environmental protection and building a community of social governance.Corporate environmental credit evaluation is an innovative measure to promote high-quality development of enterprises,implement environmental protection policies,and improve the construction of a social credit system.However,in the corporate environmental credit evaluation,corporate environmental management information has problems such as difficulty in collecting,difficulty in ensuring its authenticity and effectiveness,and coexistence of uncertainty and incompleteness.At the same time,there are few current researches systematically discussing quantitative methods of corporate environmental credit evaluation.This has increased the difficulty of rationally evaluating the environmental credit of enterprises and hindered the government’s environmental management departments from making scientific decisions.In order to solve the above problems,this paper further improves the four-branch single-value neutrosophic set theory based on the single-value neutrosophic set,and proposes a four-branch single-value neutrosophic multi-criteria decision-making method,which is applied to the corporate environmental credit evaluation,thereby improving its feasibility and effectiveness.Therefore,the systematic study of the multicriteria evaluation mcthod of corporate environmental crealt in a compicx and uncertain environment has high theoretical value and important practical significance.Based on a comprehensive review of the existing research literature on corporate environmental credit evaluation,neutrosophic set theory,and multi-criteria decision-making methods,this article perfects the fourbranch single-valued neutrosophic set theory,optimizes the corporate environmental credit evaluation criteria system,and proposes a multicriteria evaluation method of corporate environmental credit in the fourbranch single-valued neutrosophic environment and conduct empirical analysis.The main results are as follows:(1)Introduce the four-branch single-valued neutrosophic set,ORESTE,TOPSIS,and VIKOR methods related theories.Based on the existing theory,the four-branch single-valued neutrosophic set is improved,and the definitions,properties and comparison methods of the four-branch single-valued neutrosophy set(number)are given,put forward four singlevalued neutrosophisticated experts,calculation formulas for the weight of criteria,and several information aggregators and prove their properties.(2)According to the "Measures for Enterprise Environmental Credit Evaluation(Trial)" and "Administrative Measures for Enterprise Environmental Credit Evaluation of Hunan Province",the system of corporate environmental credit evaluation criteria has been optimized and the criteria weight determined,based on semantic information and four single-valued neutrosophic numbers Through the improvement of the ORESTE method,the specific steps of the four-branch single-value neutrosophic environment corporate environmental credit multi-criteria evaluation method are proposed.(3)Taking high-polluting enterprises in Hunan Province as an example,four single-value neutrosophic evaluation information are obtained through questionnaire surveys,and an empirical analysis of multicriteria evaluation of corporate environmental credit is carried out.After the sensitivity test,the improved ORESTE method is compared with the TOPSIS method and the VIKOR method to verify the feasibility and effectiveness of the proposed method.(4)Suggest countermeasures.From the three levels of government,enterprise,and society,we propose countermeasures and suggestions to improve the environmental credit level of enterprises. |