no code implementations • 4 May 2024 • Qianli Zhou, Tianxiang Zhan, Yong Deng
More general, this paper establishes a theoretical basis for building general models of artificial intelligence based on probability theory, Dempster-Shafer theory, and possibility theory.
1 code implementation • journal 2023 • Hao Luo, Qianli Zhou, Zhen Li, Yong Deng
Dempster–Shafer Theory (DST), as a method of handling uncertain information, is widely used in decisionmaking and information fusion.
no code implementations • 7 Oct 2021 • Qianli Zhou, Yusheng Huang, Yong Deng
Smets proposes the Pignistic Probability Transformation (PPT) as the decision layer in the Transferable Belief Model (TBM), which argues when there is no more information, we have to make a decision using a Probability Mass Function (PMF).
no code implementations • 8 Jul 2021 • Qianli Zhou, Guojing Tian, Yong Deng
We decrease the computation complexity of the matrix evolution on BBA (MEoB) on quantum circuits.