An Improved Belief Entropy and Its Application in Decision-Making [PDF]
Complexity, 2017 Uncertainty measure in data fusion applications is a hot topic; quite a few methods have been proposed to measure the degree of uncertainty in Dempster-Shafer framework.
Deyun Zhou, Yongchuan Tang, Wen Jiang
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Forecasting Using Information and Entropy Based on Belief Functions
Complexity, 2020 This paper introduces an entropy-based belief function to the forecasting problem. While the likelihood-based belief function needs to know the distribution of the objective function for the prediction, the entropy-based belief function does not. This is
Woraphon Yamaka, Songsak Sriboonchitta
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Belief Entropy Tree and Random Forest: Learning from Data with Continuous Attributes and Evidential Labels [PDF]
Entropy, 2022 As well-known machine learning methods, decision trees are widely applied in classification and recognition areas. In this paper, with the uncertainty of labels handled by belief functions, a new decision tree method based on belief entropy is proposed ...
Kangkai Gao, Yong Wang, Liyao Ma
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Fractal-based belief entropy [PDF]
Information Sciences, 2022 The total uncertainty measurement of basic probability assignment (BPA) in Dempster-Shafer evidence theory (DSET) has always been an open issue. Although some scholars put forward various measurements and entropies of BPA, due to the existence of discord and non-specificity, there is no method can measure BPA reasonably.
Yong Deng, Qianli Zhou
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Incomplete Information Management Using an Improved Belief Entropy in Dempster-Shafer Evidence Theory [PDF]
Entropy, 2020 Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption.
Bin Yang +3 more
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Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy [PDF]
Entropy, 2022 Multi-source information fusion is widely used because of its similarity to practical engineering situations. With the development of science and technology, the sources of information collected under engineering projects and scientific research are more
Yujie Chen +3 more
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Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy [PDF]
Entropy, 2023 The failure mode and effects analysis (FMEA) is a commonly adopted approach in engineering failure analysis, wherein the risk priority number (RPN) is utilized to rank failure modes. However, assessments made by FMEA experts are full of uncertainty.
Lei Wu +3 more
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An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy [PDF]
Entropy, 2019 Failure Mode and Effects Analysis (FMEA) has been regarded as an effective analysis approach to identify and rank the potential failure modes in many applications.
Zeyi Liu, Fuyuan Xiao
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An Improved Belief Entropy in Evidence Theory
IEEE Access, 2020 Uncertainty measurement of the basic probability assignment function has always been a hot issue in Dempster-Shafer evidence. Many existing studies mainly consider the influence of the mass function itself and the size of the frame of discernment, so ...
Hangyu Yan, Yong Deng
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Computing the decomposable entropy of belief-function graphical models [PDF]
International Journal of Approximate Reasoning, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radim Jirousek +2 more
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