Discussion On The Fuzzy Decision-making Method Of Credit Rating Of Small And Medium-sized Enterprises

Since the reform and opening-up which began 40 years ago,the economy of China has grown rapidly which lays the foundation for China's second largest economy in the world.Over the past 40-year development history,tens of thousands of small and medium-sized enterprises(SMEs)have played a vital role.As a bridge of communication between SMEs and commercial banks,credit risk has been increasingly valued by various countries.Analyzing the situation of the past two decades in the financial field in China,two types of problems have been discovered:one is that non-performing loan ratios of commercial banks have been increasing year by year;the other is that many forward-thinking projects have failed to obtain bank loan support thus abort.The reason is that corporate profitability is over emphasized and business risks are ignored in the evaluation for the former,while the latter is just the opposite.Existing evaluation methods often evaluate interests and risks separately,which cannot describe conflict information between the high-risk and high-interest well.Therefore,this paper draws on the advantages of bipolar fuzzy sets to deal with incompatible conflict information of two poles,and presents a series of bipolar fuzzy methods for credit evaluation of SMEs.The main jobs of this article are as follows:(1)The bipolar fuzzy theory is introduced into the analytic hierarchy process for the first time,and a method for evaluating the credit rating of SMEs is given by combining with the efficiency coefficient method.Through case studies,it is shown that high-risk companies may experience degraded credit ratings when benefits and risks are comprehensively considered.(2)The bipolar analysis method and the fuzzy comprehensive evaluation method are combined for the first time.Based on the fuzzy comprehensive evaluation of the sub-goal level,the credit risk status of the company can be further analyzed on the basis of the credit rating.(3)Evaluation index is reduced via the expert methods and probabilistic statistics methods.The impact of the relationship between indicators on the weight is taken into account by using the bipolar fuzzy cognitive map for the first time.And then,using the improved bipolar TOPSIS method,a new evaluation method for SME credit rating is given.In summary,the bipolar fuzzy theory is first introduced into the credit rating of SMEs in this paper.Both interests and risks are considered in the process of evaluation,making the evaluation method of SMEs credit level more objective and comprehensive.It also provides a new application direction for bipolar fuzzy theory.