Artificial Intelligence

   

Cross Entropy of Belief Function

Authors: Fan Liu, Yangxue Li, Yong Deng

Dempster-Shafer evidence theory as an extension of Probability has wide applications in many fields. Recently, A new entropy called Deng entropy was proposed in evidence theory. There were a lot of discussions and applications about Deng entropy. However, there is no discussion on how to apply Deng entropy to measure the correlation between the two evidences. In this article, we first review and analyze some of the work related to mutual information. Then we propose the extension of Deng Entropy: joint Deng entropy, Conditional Deng entropy and cross Deng entropy. In addition, we prove the relevant properties of this entropy. Finally, we also proposed a method to obtain joint evidence.

Comments: 12 Pages.

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Submission history

[v1] 2019-02-19 09:26:18

Unique-IP document downloads: 17 times

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