Classifying vaguely labeled data based on evidential fusion

DOI10.1016/j.ins.2021.11.005MaRDI QIDQ6188176

Derun Cai, Hong-Yan Li, Moxian Song, Chenxi Sun, Shenda Hong

Publication date: 1 February 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

classificationuncertaintyDempster-Shafer theoryevidence theoryevidential fusionvague label

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Cites Work

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• On the Dempster-Shafer framework and new combination rules
• The transferable belief model
• Interval-valued belief entropies for Dempster-Shafer structures
• An evidential Markov decision making model
• Information fusion based on reputation and payoff promotes cooperation in spatial public goods game
• Deep Label Distribution Learning With Label Ambiguity

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