(α,β)-粗糙集模型中阈值的确定与解释  

Determination and interpretation of the threshold value in (α,β)-rough set model

作　　者：李秀红[1] 张东升[2] 

机构地区：[1]山东大学数学与系统科学学院 [2]山东莱州第一中学

出　　处：《山东大学学报（工学版）》2006年第2期81-85,共5页Journal of Shandong University（Engineering Science）

摘　　要：拟用Bayes决策过程确定(α,β)-粗糙集模型中的阈值.首先简要介绍了(α,β)-粗糙集的基本概念和用于分类的Bayes决策过程,然后建立了具有最小风险的Bayes决策问题的(α,β)-粗糙集模型,讨论了(α,β)-粗糙集模型中的阈值与Bayes决策问题中的决策风险间的关系,给出了阈值的计算公式及其直观意义解释.Bayes decision procedure is used to determine the threshold value in （α,β）-rough set model. First- ly, the basic notion of （α,β）-rough set and the Bayes decision procedure for classification are briefly introduced. Then, （α,β）-rough set model of the minimum-risk Bayes decision problem is set up,and the connections between the threshold value in （α,β）-rough set model and the decision risk of the Bayes decision problem are discussed. Finally, the calculating formulas of the threshold value and its intuitive interpretation are given.

关 键 词：(α β)-粗糙集 阈值 Bayes决策 决策风险 

分 类 号：O159[理学—数学]