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The Dempster-Shafer Theory of Evidence [PDF]

, 2001
The Dempster-Shafer theory of evidence (here, DS theory, for brevity), sometimes called evidential reasoning (cf. Lowrance et al. [Lowrance et al., 1981]) or belief function theory, is a mechanism formalised by Shafer ([Shafer, 1976]) for representing and reasoning with uncertain, imprecise and incomplete information. It is based on Dempster’s original
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Research on the Circuit Breaker State Judgment Method Based on Ant Colony Optimization Dempster-Shafer Evidence Theory

Computation
The paper proposes a method for circuit breaker state judgment based on ant colony algorithm-optimized Dempster-Shafer evidence theory.It can improve the accuracy and robustness of state judgment.
Qian Zhang, Zhi Liu, Zhilan Zhang, Lei Guo, Yan Wang, Runze Peng, Jiaqi Liu   +6 more
doaj   +1 more source

A New Belief Entropy Based on Deng Entropy

Entropy, 2019
For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Dan Wang, Jiale Gao, Daijun Wei
doaj   +1 more source

Local computations in Dempster–Shafer theory of evidence

International Journal of Approximate Reasoning, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers

Energies, 2016
The power transformer is one of the most critical and expensive components for the stable operation of the power system. Hence, how to obtain the health condition of transformer is of great importance for power utilities. Multi-attribute decision-making (
Lingjie Sun, Yingyi Liu, Boyang Zhang, Yuwei Shang, Haiwen Yuan, Zhao Ma   +5 more
doaj   +1 more source

Rolling Bearing Fault Prediction Method Based on QPSO-BP Neural Network and Dempster–Shafer Evidence Theory

Energies, 2020
To effectively predict the rolling bearing fault under different working conditions, a rolling bearing fault prediction method based on quantum particle swarm optimization (QPSO) backpropagation (BP) neural network and Dempster−Shafer evidence ...
Lanjun Wan, Hongyang Li, Yiwei Chen, Changyun Li   +3 more
doaj   +1 more source

Updating the Evidence in the Dempster-Shafer Theory.

Informatica, 1999
An algorithm for updating the evidence in the Dempster-Shafer theory is presented. The algorithm is based on an idea of indices. These indices are used to code the process of reasoning under uncertainty (the combination of evidence)using the Dempster-Shafer theory.
openaire   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

The Additive Logic of Epistemic Reasons: An Axiomatic Account

Theoria, EarlyView.
ABSTRACT The article argues for a system of axioms that is meant to capture the logic of normative reasons for belief. The system concerns a primitive direct‐reason relation, a defined doxastic‐reason relation, and a primitive function for the revision of rational belief by reasons.
Hannes Leitgeb
wiley   +1 more source

Third-party library selection in IT projects under imperfect data using Dempster–Shafer theory

Радіоелектронні і комп'ютерні системи
This study focuses on a method for selecting third-party libraries for IT projects, which involves systematizing evaluation criteria and applying Dempster–Shafer theory of evidence to model imperfect data.
Alexander Lysenko, Igor Kononenko
doaj   +1 more source