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cs.AI2024
Quantum Information Fusion and Correction under the Transferable Belief Model
Qianli Zhou, Hao Luo, Lipeng Pan +2
The transferable belief model (TBM), developed within Dempster-Shafer theory, represents ambiguity and partial ignorance through set-valued belief masses. Its classical operations,…
cs.AI2024
Isopignistic Canonical Decomposition via Belief Evolution Network
Qianli Zhou, Tianxiang Zhan, Yong Deng
Developing a general information processing model in uncertain environments is fundamental for the advancement of explainable artificial intelligence. Dempster-Shafer theory of evi…
quant-ph2024
Attribute Fusion-based Evidential Classifier on Quantum Circuits
Hao Luo, Qianli Zhou, Lipeng Pan +2
Dempster-Shafer Theory (DST) as an effective and robust framework for handling uncertain information is applied in decision-making and pattern classification. Unfortunately, its re…