What is it about?
We provide a new definition that is better than all definitions proposed in the last 30 years
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Why is it important?
Our definition is closer to Shannon's definition for probability mass functions than the other definitions proposed in the literature. A measure of uncertainty is important for machine learning with Dempster-Shafer belief functions.
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This page is a summary of: A new definition of entropy of belief functions in the Dempster–Shafer theory, International Journal of Approximate Reasoning, January 2018, Elsevier,
DOI: 10.1016/j.ijar.2017.10.010.
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