基于粗糙集理论的Bayes粗糙模型研究  

A Rough Model of Bayes Based on Rough Sets Theory

作　　者：马旭[1] 陈志恩[1] 田彦山[1] 

机构地区：[1]宁夏师范学院数学与计算机科学系,宁夏固原756000

出　　处：《西南师范大学学报（自然科学版）》2008年第6期9-12,共4页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：宁夏自然科学科研基金资助项目(NZ08113);宁夏高校科研基金资助项目(20060237);宁夏师范学院科研基金资助项目(Z070011)

摘　　要：从经典的概率粗糙集推广模型出发,参照Bayes因子,研究了一种Bayes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.Starting from a classical probability rough model of Bayes has been studied. This rou mod gh set extending model, consulting the Bayes factor, a el is not effected by prior probability, therefore the risk of the fault-making policy is diminished.

关 键 词：粗糙集 Bayes因子 粗糙集模型 

分 类 号：O212.8[理学—概率论与数理统计]