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基于云模型的连续属性决策表简化算法
引用本文:代劲,何中市,胡峰.基于云模型的连续属性决策表简化算法[J].南京大学学报(自然科学版),2009(5).
作者姓名:代劲  何中市  胡峰
作者单位:重庆大学计算机科学与技术学院;重庆邮电大学计算机科学与技术研究所;西南交通大学信息科学与技术学院;
基金项目:国家“863”计划(2007AA01Z423);;重庆市自然科学基金(2007BB2134)
摘    要:从降低样本数据模糊性及随机性角度出发,提出了一种基于云模型的连续属性决策表简化算法.该算法通过对决策表的转换,建立云相似度概念来刻画样本间等价关系,并采用改进的动态聚类方法自动获取相似样本,完成对样本的较粗粒度表示.实验结果表明,简化决策表在不到原规模十分之一的条件下,取得了大致相当的识别率,从而大幅降低粗集知识获取时间.

关 键 词:粗集  连续属性  决策表  云模型  等价关系  

Reduction algorithm for decision table with continuous attributes based on cloud model
Dai Jin,He Zhong-Shi,Hu Feng.Reduction algorithm for decision table with continuous attributes based on cloud model[J].Journal of Nanjing University: Nat Sci Ed,2009(5).
Authors:Dai Jin    He Zhong-Shi  Hu Feng
Institution:1.College of Computer Science;Chongqing University;Chongqing;400030;China;2.Institute of Computer Science and Technology;Chongqing University of Posts and Telecommunications;400065;3.School of Information Science and Technology;Southwest Jiaotong University;Chengdu;610031;China
Abstract:Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.From the point of reducing the fuzziness and randomness of samples,a reduction algorithm for decision table with continuous attributes based on cloud model is presented.By transformation in decision table,it constructs cloud similarity to describe the equivalence relation among samples,and obtains automatically the similar samples by using the improved dynamic clust...
Keywords:rough set  continuous attributes  decision table  cloud model  equivalence relation  
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