A New Matrix Addition Rule for Combining Linear Belief Functions

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• 关键词：Linear belief functions ; Matrix sweepings ; Dempster’s rule
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9861
• 期：1
• 页码：14-24
• 全文大小：179 KB
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• 作者单位：Liping Liu (15)
  
  15. The University of Akron, Akron, USA
  
• 丛书名：Belief Functions: Theory and Applications
• ISBN：978-3-319-45559-4
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9861

文摘

Linear models, obtained from independent sources, may be combined via Dempster’s rule as linear belief functions. When they are represented as matrices, the combination is reduced to the addition of the matrices in fully swept forms. This paper improves this combination rule by further reducing unnecessary sweeping operations.