Fuzzy Comprehensive Evaluation on the Credit Rating of Manufacturing Enterprises´ Suppliers Based on Improved Algorithm

Evaluation on the credit rating of suppliers is a scientific work involving management, statistics, psychology and other disciplines and fields. Existing evaluation methods are most qualitative analysis methods, with a certain degree of subjectivity and one-sidedness, not fully and accurately. Using data mining technology based on entropy to mine knowledge information about object classification hidden in every index, the paper affirmed the relationship of object classification and index membership and eliminated the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership. The new algorithm of membership degree transformation includes three calculation steps which can be summarized as ¿effective, comparison and composition¿, which is denoted as M(1, 2, 3). The paper applied the new algorithm in fuzzy comprehensive evaluation on the credit rating of manufacturing enterprises´ suppliers.