中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Weighted reduction for decision tables

文献类型:期刊论文

作者Xu, Changzhi; Min, Fan
刊名Fuzzy systems and knowledge discovery, proceedings
出版日期2006
卷号4223页码:246-255
关键词Rough sets Attribute reduction Average discernibility Weight vector and decision rule
ISSN号0302-9743
通讯作者Xu, changzhi(xchzh04b@mails.gucas.ac.cn)
英文摘要As a classical problem of rough sets, the reduct problem still attracts research interests recently. many existing works on the reduct problem are devoted into finding optimal reducts where the optimal metrics is the number of attributes. in reality, however, this optimal metrics is not fair since some attributes may have much larger domains than others, and they tend to have better discernibility thus more likely to be included in optimal reducts. to cope with this fairness problem, in this paper we propose the concept of average discernibility which takes into consideration the cardinality of the attribute domain. attribute reduction based on average discernibility can be implemented through assigning each attribute an appropriate weight in the reduction process to adjust attribute significance. we point out further that some human experts knowledge can also be expressed by the weight vector formed by weights of all attributes. then we propose a weighted reduction algorithm based on discernibility, and analyze the usefulness the weight vector along with its setting policies. this algorithm is consistent with the existing reduction algorithm based on discernibility in that the former contains the latter as a special case when all elements of the weight vector are equal and non-zero. experiment results of the bridges dataset in the uci library validate the usefulness of our algorithm.
WOS关键词ROUGH SETS
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
语种英语
WOS记录号WOS:000241106000028
出版者SPRINGER-VERLAG BERLIN
URI标识http://www.irgrid.ac.cn/handle/1471x/2379819
专题中国科学院大学
通讯作者Xu, Changzhi
作者单位1.Chinese Acad Sci, Grad Sch, State Key Lab Informat Secur, Beijing 100049, Peoples R China
2.Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Peoples R China
推荐引用方式
GB/T 7714
Xu, Changzhi,Min, Fan. Weighted reduction for decision tables[J]. Fuzzy systems and knowledge discovery, proceedings,2006,4223:246-255.
APA Xu, Changzhi,&Min, Fan.(2006).Weighted reduction for decision tables.Fuzzy systems and knowledge discovery, proceedings,4223,246-255.
MLA Xu, Changzhi,et al."Weighted reduction for decision tables".Fuzzy systems and knowledge discovery, proceedings 4223(2006):246-255.

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来源:中国科学院大学

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