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