摘要
在决策粗糙集的基础上,对论域进行了拓展,构造了双论域上的决策粗糙集模型.依据条件概率构造了双论域上决策粗糙集的上、下近似集,并得到相应的正域、负域和边界域的定义;讨论了双论域上决策粗糙集模型的一些基本性质;通过实例给出了双论域上决策粗糙集模型在医疗诊断系统中的应用.
Based on the decision-theoretic rough set model, the universe of the model is extended, and a decision-theoretic rough set model based on double universes is defined. First, the upper （lower） approximation sets of the model are constructed according to conditional probability. Second, three disjoint regions called positive region, boundary region and negative region are defined. Then, some basic properties are discussed. Finally, a practical example that adopts the double-universe model in diagnostic systems is provided.
出处
《五邑大学学报（自然科学版）》
CAS
2014年第2期19-24,共6页
Journal of Wuyi University(Natural Science Edition)
基金
国家自然科学基金资助项目(No.11271040)
广东省自然科学基金资助项目(S2011010003681)
江门市科技计划项目(20120030093981
20120030096094
20130100230255)
中国科学院计算技术研究所智能信息处理重点实验室开放课题资助项目(LIP2010-5)
关键词
决策粗糙集模型
广义近似空间
(α
β)-上近似
(α
β)-下近似
decision-theoretic rough set models
generalized approximation spaces
（α,β）-upper approximation
（α,β）-lower approximation
