Results 171 to 180 of about 16,024 (202)

The entailment principle for dempster—shafer granules

International Journal of Intelligent Systems, 1986
We discuss the rule of inference called the entailment principle which plays a significant role in the possibilistic reasoning used in the theory of approximate reasoning. We extend this principle to situations in which the knowledge is a type of combination of possibilistic and probabilistic information which we call Dempster-Shafer granules.
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Dempster-Shafer and Possibility Theory

2016
The last chapter presents an application of a particular class of normalized capacities (belief and plausibility measures) to the representation of uncertainty. This class has very specific properties and can be obtained through very different approaches (upper and lower probabilities, evidence theory and random sets, at least).
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Dempster-Shafer Credal Probabilistic Circuits

Probabilistic circuits are deep, tractable generative models capable of computing various types of exact inferences. However, their traditional specifications do not fully account for epistemic uncertainty. To address this, credal probabilistic circuits were introduced, incorporating a way to manage such uncertainty.
David Ricardo Montalván Hernández, Thomas Krak, Cassio de Campos   +2 more
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Algorithms for Dempster-Shafer Theory

2000
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 1967; 1968] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 1976], and further publications e.g., [Shafer, 1981; 1990].
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Evaluation and comparison of Dempster-Shafer, weighted Dempster-Shafer, and probability techniques in decision making

SPIE Proceedings, 2011
The Monte Carlo technique is used to evaluate the performance of four techniques for making decisions in the presence of ambiguity. A modified probability approach (both weighted and unweighted) and weighted and unweighted Dempster-Shafer are applied to compare the reliability of these methods in producing a correct single decision based on a priori
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Fundamentals of the Dempster-Shafer theory

SPIE Proceedings, 2012
In this paper, I discuss the basic notions of the Dempster Shafer theory. Using a simple engineering example, I highlight sources of confusion in the Dempster Shafer literature, and some questions that arise in the course of applying the Dempster Shafer algorithm. Finally, I discuss the measure theoretic foundation that reveals the intimate connections
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Generalized combination rule for evidential reasoning approach and Dempster–Shafer theory of evidence

Information Sciences, 2021
元伟 杜
exaly  

Dempster Shafer Belief Theory

2008
Shashi Shekhar, Hui Xiong
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Dempster-Shafer Inconsistency Values

Chinese Journal of Electronics, 2014
Dongmei Li, Youfang Lin, Houkuan Huang, Shudong Hao, Jianxin Wang   +4 more
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Generalization of Dempster–Shafer theory: A complex mass function

Applied Intelligence, 2020
Fuyuan Xiao
exaly