On relationship between probabilistic rough set and Bayesian risk decision over two universes

On relationship between probabilistic rough set and Bayesian risk decision over two universes
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两个宇宙上概率粗糙集与贝叶斯风险决策的关系

DOI:
10.1080/03081079.2011.634067
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发表时间:
2012-03
影响因子:
2
通讯作者:
Sun Bingzhen
Sun Bingzhen
中科院分区:
计算机科学3区
文献类型:
--
作者:
Ma Weimin;Sun Bingzhen

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研究了两论域上基于概率粗糙集的贝叶斯风险决策问题。它是经典概率粗糙集在同一论域上的一个新的推广。给出了两论域上概率近似空间上的四种粗糙集模型。然后研究了两论域上贝叶斯风险决策与概率粗糙集模型之间的相互关系。结果表明,两论域上的概率粗糙集模型之一对应的贝叶斯最小风险决策问题必然存在。事实上,该结论也包含了其他作者在同一论域上的一些广义概率粗糙集模型。同时,通过一个医疗诊断系统的算例,详细验证了基于两论域概率粗糙集的贝叶斯风险决策方法的原理和有效性。两论域上的概率粗糙集方法在风险和不确定性背景下为决策者提供了有效的辅助。
We consider a problem of Bayesian risk decision based on probabilistic rough set over two universes. It is a new extension of classical probabilistic rough set on the same universe. We give four rough set models on probabilistic approximation space over two universes. Then we study the interrelationship between Bayesian risk decision and probabilistic rough set models over two universes. The results show that there must exist a kind of Bayesian minimum risk decision problem corresponding to one of the probabilistic rough set models over two universes. In fact, the conclusion also includes some generalized probabilistic rough set models on the same universe by other authors. And at the same time, the principal and validity of the Bayesian risk decision based on probabilistic rough set over two universes are tested by a numerical example of the medical diagnosis systems in detail. The probabilistic rough set approach over two universes gives an effective assistant for decision makers in the context of risk and uncertainty.
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