由给定的风险定义出发,基于风险的不确定性属性,用信息熵理论给出了决策树—风险熵法和贝叶斯网络—风险熵法等风险测量方法.可根据不同研究对象的风险特点,选择相应的风险分析方法,拓宽了决策途径.
This paper proposes such risk measurements as decision tree-risk entropy method and Bayesian networks-risk entropy method by using information entropy theory based on the definition of risk and uncertainty of risks.It broadens the decision-making approach to selecting the corresponding risk analysis method according to the risk characteristics of different research objects.