Incomplete Information Management Using an Improved Belief Entropy in Dempster-Shafer Evidence Theory

Incomplete Information Management Using an Improved Belief Entropy in Dempster-Shafer Evidence Theory

Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption. In this paper, an uncertainty measurement method that is based on Deng entropy, named Open Deng entropy (ODE)...

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Bibliographic Details
Main Authors: Bin Yang, Dingyi Gan, Yongchuan Tang, Yan Lei
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
Dempster–Shafer evidence theory
belief entropy
Deng entropy
uncertainty management
incomplete information fusion
Online Access:https://www.mdpi.com/1099-4300/22/9/993

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