Risk Management, Financial Information Systems Development

Risk analysis and management of financial information is the field in which isn' t be studied much by the academe and which rely on management science, information science, statistics and mathematics. Risk identification, risk estimate and risk evaluation of risk management of financial information is presented in this paper. The disadvantage of present usual methods of risk identification and analysis is lack of integrality. Risk layer model is put out and risk of financial information is carved up to two or more layers. Conventional probability and logic statistics are not fit for risk estimate in development of financial information system. Therefore, probable distributing method of fuzzy mathematics is carried out for estimate risk in this paper, which make a good foundation for risk estimate. Probable estimate model is put out, and probable value is computed When there is no much historic swatch, risk management and decision operators analyze only from some qualitative analysis. Risk fuzzy integration evaluation model is put out. Model R=P+C-P*C images the effect of probability of risk P and loss degree C for risk evaluation degree R. Risk management and decision handles and controls the risk. When the risk is can' t be avoided and moved, lightening the risk probability and loss can be gained only by using all kinds of methods. Therefore, the process of risk management is the process of the using of the methods.