Finacial Counseling Process Factor Selection And Optimization Research

Financial counseling is an advanced and scientific method to improve the financial management of an enterprise. It is the deepening and development of financial analysis, and more scientific, extensive and practical than financial analysis. With the further development of China’s market economy, the financial diagnosis will play an increasingly prominent and visible role in enterprise financial management. While, in today’s complex economic life, the factors that affect the financial activities are increasingly complex and changeable. How to identify and ascertain these factors is the necessary condition to do enterprise financial diagnosis.The generation of diagnostic scheme is the core value of the diagnosis. A comprehensive financial diagnostic system not only needs to analyze the report data, but also requires a combination of many non-financial factors, qualitative factors, competitive factors etc. to make a valuable judgment. This article is committed to the study of generation factors of financial diagnostic scheme. On the basis of the MCS model proposed by Professor Liang Gefu, the generation of enterprise financial diagnosis scheme is divided into four modules, which are factors-collection module, factors-judgment module, themes-selection module and factors-optimization module. Factors-collection module is to collect an enterprise’s internal and external environmental factors and financial factors, and initially screen and classify. The factor selection module, using the Delphi method, factor analysis and strategies on the strength of quadrilateral environmental factors were selected and the analysis of enterprise strategic situation; Using index decomposition method, factor analysis method and the radar chart analysis on financial factors analysis, to identify the factors of hierarchical relationship and financial status. Themes-selection module is to select diagnostic theme according to the diagnostic needs or the wishes of the person to diagnose, attached the basis of the selection. Factors-optimization module is applying the Analytic hierarchy process to optimize environmental factors and applying BP neural network to optimize the financial factors, and applying this research to the listed companies to illustrate its usefulness, and the results of the test.