Study and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information

The problem for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is the multiple attribute decision making (MADM) problems. In this paper, we investigate the multiple attribute decision making (MADM) problems for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information. We utilize the WC-LOWA operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example for ability for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is given.