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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +3 more sources
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
doaj +3 more sources
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
doaj +2 more sources
Maximum Entropy Learning with Deep Belief Networks [PDF]
Entropy, 2016 Conventionally, the maximum likelihood (ML) criterion is applied to train a deep belief network (DBN). We present a maximum entropy (ME) learning algorithm for DBNs, designed specifically to handle limited training data.
Payton Lin +4 more
doaj +2 more sources
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
doaj +2 more sources
A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy [PDF]
Entropy, 2019 Uncertain information exists in each procedure of an air combat situation assessment. To address this issue, this paper proposes an improved method to address the uncertain information fusion of air combat situation assessment in the Dempster– ...
Ying Zhou, Yongchuan Tang, Xiaozhe Zhao
doaj +2 more sources
Generalized Belief Entropy and Its Application in Identifying Conflict Evidence [PDF]
IEEE Access, 2019 Dempster-Shafer evidence theory has wide applications in many fields. Recently, A new entropy called Deng entropy was proposed in evidence theory. Some scholars have pointed out that Deng Entropy does not satisfy the additivity in uncertain measurements.
Fan Liu +3 more
doaj +2 more sources