基于粗糙集和贝叶斯理论的IT项目风险规则分析

A method of risk rule mining in IT project based on rough set and Bayes theory

针对IT项目的风险决策过程中存在大量不确定、不完全信息等特征,在传统粗糙集的基础上,将贝叶斯理论引入到IT项目的风险规则中,提出了规则支持度、置信因子、覆盖因子等获取的相关算法,构建了基于粗糙集与贝叶斯理论相结合的风险规则模型,并通过实例对该模型进行了详细分析.

According to the imprecision and uncertainty of risk factors,the Beyes theory is introduced into IT project risk management based on the traditional rough set theory in this paper,then the concept and algorithm such as rules support degree,confidence factor,covering factor are proposed,and the risk decision rule mining model based on the combination of rough set and Beyes theory is constructed.At last,an example is introduced to demonstrate the method and model above detailed.