Method of Basic Belief Assignment Determination Based on Density Estimation of Ambiguous Samples

2021 IEEE 24th International Conference on Information Fusion (FUSION)（2021）

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摘要

The determination of the basic belief assignment (BBA) is an important yet difficult problem in evidence theory. In this paper, some BBA determination methods using density estimation that can directly generate compound focal elements for ambiguous classes are proposed, including the Gaussian Mixture Model (GMM) based and Generative Adversarial Network (GAN) based methods. Experimental results of ...

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关键词

Evidence theory,Conferences,Estimation,Pattern classification,Mixture models,Generative adversarial networks,Filling

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