Research On Multi-Attribute Decision Making Based On 2-tuple Linguistic Neutrosophic Set And Its Application In Credit Risk Assessment Of Supply Chain Finance

With the rapid development of economy,supply chain finance has become an important of bank credit business and small and medium-sized enterprises financing channels,core enterprise credit in the bank through the supply chain,can not only alleviate the financing difficulties of small and medium-sized enterprises,but also can expand its financial business bank itself,so as to achieve mutual benefit and win-win results between Banks and enterprises.However,it is not to be ignored that the bank has changed from the traditional single credit granting method to the credit granting of the whole supply chain,and the credit risk of supply chain finance also increases accordingly.Therefore,it is necessary to study the credit risk of supply chain finance business.As a generalized form of 2-tuple linguistic set and neutrosophic set,the 2-tuple linguistic neutrosophic set is an important tool to measure fuzzy information.The three variables of neutrosophic set,including membership function,indeterminacy membership function and non-membership function,are expressed in 2-tuple linguistic set,so as to make the evaluation result contain more fuzzy information,and the evaluation value is expressed in 2-tuple linguistic set,so as to facilitate experts to give evaluation results.It is an effective tool for quantitative decision-making of uncertainty and can be used to study risk assessment.Based on the basic concept of 2-tuple linguistic neutrosophic set,this thesis extended the traditional TODIM method,EDAS method and MABAC method to the 2-tuple linguistic neutrosophic environment,and constructed a multi-attribute group decision model based on 2-tuple linguistic neutrosophic set.At the same time,considering the possible internal correlation between evaluation information,the classical BM aggregation operator was used to fuse 2-tuple linguistic neutrosophic information,and form a 2-tuple linguistic neutrosophic decision-making model based on the 2TLNNBM operators.In terms of supply chain finance credit risk evaluation,to apply the 2-tuple linguistic neutrosophic TODIM model,2-tuple linguistic neutrosophic EDAS model,2-tuple linguistic neutrosophic MABAC model and 2TLNNBM aggregation operator in the same supply chain finance credit risk evaluation instance,and compare the new models with existing 2-tuple linguistic neutrosophic method,the comparative analysis results show that the new decision-making models can effectively deal with multiple attribute group decision making problems.This paper aims at enriching the method research of 2-tuple linguistic neutrosophic and making credit risk management of supply chain finance more scientific and reasonable.