CM Company Financial Pre-warning Research Based On Fuzzy Comprehensive Evaluation Method

Enterprise financial pre-warning is one of the most important research subject,which has high academic value and great application value.The company can detect the signal of financial crisis by setting a series of financial indicators and building effective financial models,so as to eliminate the crisis in time and keep the financial system and management system always in a good condition.Traditional financial pre-warning models were mostly designed by the data that collected from manufacturing industry or commodity circulation enterprises,which cannot be applied into every industry,especially the media industry.Therefore,after verifying the limitation in the application of traditional financial pre-warning method,this research is made to build a new financial pre-warning model that completely suits the case enterprise based on fuzzy mathematics theory and AHP-entropy method.Finally,the research gives related suggestions based on the evaluated results,which will play an important role to the future management of the case enterprise.There are six parts in the research: the first chapter is the introduction, systematically discusses the background,purpose,method and significance of this study,and analyze the previous research results of financial pre-warning theory,on this basis,putting forward the technical route and the innovation of the study.The second chapter is the related theory on the basis of the method,including the financial pre-warning theory and fuzzy mathematics theory.In the third chapter,the study applies the traditional financial prewarning method to the case company,and after getting the limitation of the application,the study mentions the concept of constructing a set of financial pre-warning model for the case company based on fuzzy synthetic evaluation method.The fourth chapter and the fifth chapter is the core chapters of this study,building the financial pre-warning index system for the case company based on fuzzy synthetic evaluation method,AHP method and Entropy method,and analyze the evaluation results from three aspects: the index weight,the first level of fuzzy synthetic evaluation and the second level of fuzzy synthetic evaluation.The sixth chapter is the conclusion of the study,giving corresponding suggestions according to the evaluation results and providing prospect for the future research.