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
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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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