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.

Download: PDF

Submission history

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

Unique-IP document downloads: 39 times is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus