A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis | |
Zhang, Zhiwang1,2; Shi, Yong1,3; Gao, Guangxia4 | |
刊名 | Expert systems with applications |
2009-07-01 | |
卷号 | 36期号:5页码:8932-8937 |
关键词 | Data mining Rough set Multiple criteria linear programming Classification |
ISSN号 | 0957-4174 |
DOI | 10.1016/j.eswa.2008.11.007 |
通讯作者 | Zhang, zhiwang(zzwmis@163.com) |
英文摘要 | It is well known that data mining is a process of discovering unknown, hidden information from a large amount of data, extracting valuable information, and using the information to make important business decisions. and data mining has been developed into a new information technology, including regression, decision tree, neural network, fuzzy set, rough set, and support vector machine. this paper puts forward a rough set-based multiple criteria linear programming (rs-mclp) approach for solving classification problems in data mining. firstly, we describe the basic theory and models of rough set and multiple criteria linear programming (mclp) and analyse their characteristics and advantages in practical applications. secondly, detailed analysis about their deficiencies are provided, respectively. however, because of the existing mutual complementarities between them, we put forward and build the rs-mclp methods and models which sufficiently integrate their virtues and overcome the adverse factors simultaneously. in addition. we also develop and implement these algorithm and models in sas and windows system platforms. finally, many experiments show that the rs-mclp approach is prior to single mclp model and other traditional classification methods in data mining, and remarkably improve the accuracy of medical diagnosis and prognosis simultaneously. (c) 2008 elsevier ltd. all rights reserved. |
WOS关键词 | FEATURE-SELECTION |
WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000264782800023 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2397850 |
专题 | 中国科学院大学 |
通讯作者 | Zhang, Zhiwang |
作者单位 | 1.Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Univ, Sch Informat, Beijing 100080, Peoples R China 3.Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68182 USA 4.Shandong Inst Business & Technol, Foreign Language Dept, Yantai 264005, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Zhiwang,Shi, Yong,Gao, Guangxia. A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis[J]. Expert systems with applications,2009,36(5):8932-8937. |
APA | Zhang, Zhiwang,Shi, Yong,&Gao, Guangxia.(2009).A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis.Expert systems with applications,36(5),8932-8937. |
MLA | Zhang, Zhiwang,et al."A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis".Expert systems with applications 36.5(2009):8932-8937. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论