摘要
从经典的概率粗糙集模型出发,参照Bayes因子,研究了一种基于逆概率的变精度粗糙集模型,该模型不受先验概率的影响,从而减小了决策失误的风险.
A rough model based on the inverse probability is studied by starting from a classical probability rough set model and consulting the Bayes factor. This model is not effected by prior probability, therefore, the risk of the fault making policy having diminished.
出处
《宁夏师范学院学报》
2008年第3期16-18,共3页
Journal of Ningxia Normal University
基金
宁夏师范学院科研资助项目(NO.Z070011)
