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基于信息熵的不完备信息系统粗集模型拓展
Extension of Rough set Model Based on Information Entropy under Incomplete Information Systems
【摘要】 分析几种已有的针对不完备信息系统的粗集拓展模型基础上,提出了一种基于信息增益的粗集拓展模型。在对各属性重要性排序的前提下,对不完备信息系统进行进一步的粗集模型拓展,通过实例说明该模型更符合人的主观要求和客观现实。
【Abstract】 In this paper, several existing extended rough set models are analyzed and a new model based on information gain is presented. In this model, the importance of each attribute is estimated before farther extension of rough set model under the incomplete information system. Finally, the experimental result shows this model has good coincidence with user’s subjective request and objective reality.
【关键词】 粗糙集;
容差关系;
非对称相似关系;
特征关系;
信息熵;
【Key words】 Rough set; tolerance relation; unsymmetrically similarity relation; characteristic relation; information entropy;
【Key words】 Rough set; tolerance relation; unsymmetrically similarity relation; characteristic relation; information entropy;
- 【文献出处】 电脑知识与技术(学术交流) ,Computer Knowledge and Technology(Academic Exchange) , 编辑部邮箱 ,2007年02期
- 【分类号】TP311.5
- 【下载频次】145