A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy

Dempster-Shafer evidence theory (DST) has shown its great advantages to tackle uncertainty in a wide variety of applications. However, how to quantify the information-based uncertainty of basic probability assignment (BPA) with belief entropy in DST framework is still an open issue. The main work of...

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Bibliographic Details
Main Authors: Qian Pan, Deyun Zhou, Yongchuan Tang, Xiaoyang Li, Jichuan Huang
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/2/163