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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
openaire   +1 more source

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

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

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

A new weighting factor in combining belief function. [PDF]

PLoS ONE, 2017
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the problem of counter-intuitive outcomes by using classical Dempster-Shafer combination rule is still an open issue while fusing the conflicting evidences ...
Deyun Zhou, Qian Pan, Gyan Chhipi-Shrestha, Xiaoyang Li, Kun Zhang, Kasun Hewage, Rehan Sadiq   +6 more
doaj   +1 more source

Measuring the Uncertainty in the Original and Negation of Evidence Using Belief Entropy for Conflict Data Fusion

Entropy, 2021
Dempster-Shafer (DS) evidence theory is widely used in various fields of uncertain information processing, but it may produce counterintuitive results when dealing with conflicting data.
Yutong Chen, Yongchuan Tang
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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Estimation of Driver Lane Change Intention Based on the LSTM and Dempster–Shafer Evidence Theory

Journal of Advanced Transportation, 2021
Rapid and correct estimation of driver lane change intention plays an important role in the advanced driver assistance system (ADAS), which could make the driver improve the reliability of the ADAS system and help to decrease driver workload.
Zhi-Qiang Liu, Man-Cai Peng, Yue-Chen Sun   +2 more
doaj   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia, Nuno Marques de Almeida, Joe Amad‐Echendu, Simplice A. Asongu   +3 more
wiley   +1 more source

Predictive processing's flirt with transcendental idealism

Noûs, Volume 60, Issue 1, Page 87-109, March 2026.
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley   +1 more source