A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function
Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu 610054, China
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Entropy 2018, 20(11), 842; https://doi.org/10.3390/e20110842
Received: 29 September 2018
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Revised: 28 October 2018
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Accepted: 31 October 2018
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Published: 3 November 2018
(This article belongs to the Special Issue Information Theory and 5G Technologies)
How to measure the uncertainty of the basic probability assignment (BPA) function is an open issue in Dempster–Shafer (D–S) theory. The main work of this paper is to propose a new belief entropy, which is mainly used to measure the uncertainty of BPA. The proposed belief entropy is based on Deng entropy and probability interval consisting of lower and upper probabilities. In addition, under certain conditions, it can be transformed into Shannon entropy. Numerical examples are used to illustrate the efficiency of the new belief entropy in measurement uncertainty.
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Keywords:
Dempster–Shafer (D–S) theory; belief entropy; Deng Entropy; measurement uncertainty; probability interval; belief function
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MDPI and ACS Style
Pan, L.; Deng, Y. A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function. Entropy 2018, 20, 842. https://doi.org/10.3390/e20110842
AMA Style
Pan L, Deng Y. A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function. Entropy. 2018; 20(11):842. https://doi.org/10.3390/e20110842
Chicago/Turabian StylePan, Lipeng, and Yong Deng. 2018. "A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function" Entropy 20, no. 11: 842. https://doi.org/10.3390/e20110842
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