An evidence combination model based on variable-precision rough sets

doi:10.1109/ICMLC.2011.6016672

	An evidence combination model based on variable-precision rough sets
	Yang, Chun-Lin
	2011
会议名称	2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
会议录名称	Proceedings - International Conference on Machine Learning and Cybernetics
卷号	1
页码	195-198
会议日期	2011-07-10 - 2011-07-13
会议地点	Guilin, Guangxi, China
出版者	IEEE Computer Society
摘要	Evidence theory based on variable precision was first proposed by Barbara Marszal-Paszeka. However, the combination of the evidences was based on two mutually independent inconsistent decision tables, which did not consider the weight of evidence combination. In fact, different evidences play the different roles in the evidence combination. In this paper, the weight of evidence is calculated by variable precision rough set. © 2011 IEEE.
关键词	Decision tables Machine learning Evidence combination Evidence reasoning Evidence theories Inconsistent decision tables Mutually independents Variable precision Variable precision rough sets Weight of evidences
DOI	10.1109/ICMLC.2011.6016672
收录类别	EI
语种	英语
EI入藏号	20114514486885
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9829
专题	信息工程与人工智能学院
作者单位	School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou Gansu 730020, China
推荐引用方式 GB/T 7714	Yang, Chun-Lin. An evidence combination model based on variable-precision rough sets[C]:IEEE Computer Society,2011:195-198.