A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions

Evidence theory (TE), based on imprecise probabilities, is often more appropriate than the classical theory of probability (PT) to apply in situations with inaccurate or incomplete information. The quantification of the information that a piece of evidence involves is a key issue in TE. Shannon’s en...

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Bibliographic Details
Published in:	Entropy
Main Authors:	Joaquín Abellán, Alejandro Pérez-Lara, Serafín Moral-García
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Subjects:	belief functions uncertainty measures maximum of entropy
Online Access:	https://www.mdpi.com/1099-4300/25/6/867

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