The superiority of three-way decisions in probabilistic rough set models
The superiority of three-way decisions in probabilistic rough set models
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DOI：
10.1016/j.ins.2010.11.019
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发表时间：
2011-03-15
影响因子：
8.1
通讯作者：
Yao, Yiyu
中科院分区：
文献类型：
--
作者：
Yao, Yiyu
三路决策提供了一种权衡不同类型的分类错误，以获得最小成本的三元分类器的手段。本文比较了标准粗糙集模型的概率三路决策、概率双向决策和定性三路决策。结果表明，在一定条件下，当考虑不同类型的错误分类的成本，概率三路决策是优于其他两个上级。(C)2010年爱思唯尔公司All rights reserved.
Three-way decisions provide a means for trading off different types of classification error in order to obtain a minimum cost ternary classifier. This paper compares probabilistic three-way decisions, probabilistic two-way decisions, and qualitative three-way decisions of the standard rough set model. It is shown that, under certain conditions when considering the costs of different types of miss-classifications, probabilistic three-way decisions are superior to the other two. (C) 2010 Elsevier Inc. All rights reserved.