Modeling Weak Information with Generalized Basic Probability Assignments
1996Interval-probability reacts to the fact that often there is not enough information to assign a classical probability measure. One approach, the Dempster-Shafer theory, calculates belief-functions using so-called basic probability assignments, which prove, however, to be (formally) equivalent to a probability measure (on a different space). This article
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A new method to determine Basic Probability Assignment under fuzzy environment
2012 International Conference on Systems and Informatics (ICSAI2012), 2012Dempster Shafer theory of evidence has been widely used in many data fusion application systems. However, how to determine Basic Probability Assignment (BPA), which is the main and the first step in evidence theory, is still an open issue. In the proposed method, species model can be constructed by determination of the min, average and max value to ...
Wen Jiang +3 more
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Combining Basic Probability Assignments for Fuzzy Focal Elements
2008The Dempster-Shafer theory is convenient for implementation in models of medical diagnosis as it neglects dependence of symptoms. Yet, combination of two basic probability assignments that is defined in the theory is often criticized. The paper shows opportunities of combining that are created when the Dempster-Shafer theory is extended for fuzzy focal
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A non-parametric method to determine basic probability assignment for classification problems
Applied Intelligence, 2014As an important tool for knowledge representation and decision-making under uncertainty, Dempster-Shafer evidence theory (D-S theory) has been used in many fields. The application of D-S theory is critically dependent on the availability of the basic probability assignment (BPA). The determination of BPA is still an open issue.
Peida Xu +4 more
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Meausre divergence degree of basic probability assignment based on Deng relative entropy
2016 Chinese Control and Decision Conference (CCDC), 2016Dempster Shafer evidence theory (D-S theory) is more and more extensively applied to information fusion for the advantage dealing with uncertain information. However, the results opposite to common sense are often obtained when combining the different evidence using the Dempster's combination rules.
Liguo Fei, Yong Deng
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The maximum entropy negation of basic probability assignment
Soft Computing, 2023Ruijie Liu, Yong Deng, Zhen Li
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A New Distance Measure between Two Basic Probability Assignments Based on Penalty Coefficient
Information ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meizhu Li, Linshan Li, Qi Zhang
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A generalization of Rényi entropy for basic probability assignment
Communications in Statistics - Theory and Methods, 2022Ran Yu, Yong Deng
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Constructing Basic Probability Assignment Based on the Slope Correlation Degree
2022 IEEE 5th International Conference on Electronics Technology (ICET), 2022Jie Chen +5 more
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Quantum Representation of Basic Probability Assignments Based on Mixed Quantum States
2021 IEEE 24th International Conference on Information Fusion (FUSION), 2021Xinyang Deng, Wen Jiang
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