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Evidential Information Fusion on Possibilistic Structure
Qianli Zhou, Ye Cui, Zhen Li +2
Dempster's rule is a fundamental tool for combining belief functions from distinct and reliable sources. However, its intersection-based semantics imposes strong structural restric…
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,…
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…
Repeatable Random Permutation Set
Wenran Yang, Yong Deng
Random permutation set (RPS), as a recently proposed theory, enables powerful information representation by traversing all possible permutations. However, the repetition of items i…
A Negation Quantum Decision Model to Predict the Interference Effect in Categorization
Qinyuan Wu, Yong Deng
Categorization is a significant task in decision-making, which is a key part of human behavior. An interference effect is caused by categorization in some cases, which breaks the t…
Exponential Negation of a Probability Distribution
Qinyuan Wu, Yong Deng, Neal Xiong
Negation operation is important in intelligent information processing. Different with existing arithmetic negation, an exponential negation is presented in this paper. The new nega…