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双论域粗糙集的近似分类精度度量
Approximation Classified Precision Based on Two Universal Rough Sets
【摘要】 由等价关系R所决定的近似空间(U,R)上,可用近似分类精度来表示可能的决策中正确决策的百分比。将近似分类精度概念推广到一般关系双论域粗糙集的近似空间上。通过引入独立集概念,给出了度量公式,最后通过实例验证了其合理性。
【Abstract】 On Pawlak rough set model,the concept of approximation classified precision expressed the percentage which the correct decision occupied in all possible decision-making.The mentioned concept is promoted to an approximation space which considering an arbitrary binary relation on two universal sets.By introducing the concept of solitary set,proposed the measurement formula,and finally an example is used to shown its rationality.
【关键词】 双论域;
粗糙集;
近似分类精度;
【Key words】 two universal sets rough set approximation classified precision;
【Key words】 two universal sets rough set approximation classified precision;
- 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2010年09期
- 【分类号】TP18
- 【被引频次】1
- 【下载频次】100