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Modeling heterogeneous multi-attribute emergency decision-making with Dempster-Shafer theory
Computers & industrial engineering, 2021Liguo Fei, Yuqiang Feng, Hongli Wang
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Journal of Ambient Intelligence and Humanized Computing, 2021
Rula A. Hamid +3 more
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Rula A. Hamid +3 more
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Consensus reaching with dynamic expert credibility under Dempster-Shafer theory
Information Sciences, 2022Zhen-hong Hua, Liguo Fei, Huifeng Xue
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Dempster-Shafer Theory in Recommender Systems: A Survey
International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsDue to the limitations associated with the use of a single type of data during the recommendation process, recent research has focused on developing new fusion-based recommenders that make use of multiple heterogeneous sources of information to provide more accurate suggestions.
Khadidja Belmessous +4 more
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Future generations computer systems, 2021
Ihsan Ullah, H. Youn, Youn-Hee Han
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Ihsan Ullah, H. Youn, Youn-Hee Han
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Some convergence results in Dempster-Shafer theory
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2002Belief functions and basic probability assignments defined on a finite frame of discernment are given an intuitive extension. Some convergence results are then given on sets converging from above and below; also, a weakened form of one of the Borel-Cantelli lemmas is given. The paper concludes with a theorem on the Dempster-Shafer random variable.
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Developing a Ship Collision Risk Index estimation model based on Dempster-Shafer theory
, 2021Misganaw Abebe +4 more
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Dempster-Shafer and Possibility Theory
2016The 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 Evidential Theory
2009Dempster-Shafer evidential theory, a probability-based data fusion classification algorithm, is useful when the sensors (or more generally, the information sources) contributing information cannot associate a 100 percent probability of certainty to their output decisions.
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Dempster-Shafer theory in emergency management: a review
Natural HazardsTao Li, Jiayi Sun, Liguo Fei
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