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(α,β)-粗糙集模型中阈值的确定与解释 被引量:1

Determination and interpretation of the threshold value in (α,β)-rough set model
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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.
出处 《山东大学学报(工学版)》 CAS 2006年第2期81-85,共5页 Journal of Shandong University(Engineering Science)
关键词 β)-粗糙集 阈值 Bayes决策 决策风险 (α,β)-rough set threshold value Bayes decision decision risk
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