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	A novel weighted evidence combination rule based on improved entropy function with a diagnosis application
	Chen, Lei; Diao, Ling; Sang, Jun
刊名	INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
	2019
卷号	Vol.15 No.1
关键词	Dempster-Shafer evidence theory information fusion entropy function faulty diagnosis medical diagnosis
ISSN号	1550-1477
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4745489
专题	湖南大学
作者单位	1.Chongqing Univ, Sch Big Data & Software Engn, Chongqing 401331, Peoples R China 2.Chongqing Aerosp Polytech Coll, Deans Off, Chongqing, Peoples R China 3.Chongqing Aerosp Polytech Coll, Dept Comp Engn, Chongqing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Lei,Diao, Ling,Sang, Jun. A novel weighted evidence combination rule based on improved entropy function with a diagnosis application[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2019,Vol.15 No.1.
APA	Chen, Lei,Diao, Ling,&Sang, Jun.(2019).A novel weighted evidence combination rule based on improved entropy function with a diagnosis application.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,Vol.15 No.1.
MLA	Chen, Lei,et al."A novel weighted evidence combination rule based on improved entropy function with a diagnosis application".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS Vol.15 No.1(2019).

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