An improved quantum combination method of mass functions based on supervised learning

DOI10.1016/j.ins.2023.119757MaRDI QIDQ6059615

Xinyang Deng, Wen Jiang, Siyu Xue

Publication date: 2 November 2023

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

zbMATH Keywords

supervised learningquantum probabilitybelief functionDempster-Shafer evidence theorymass functions

Mathematics Subject Classification ID

Computational learning theory (68Q32) Probability distributions: general theory (60E05) Averaging method for ordinary differential equations (34C29) Constrained dynamics, Dirac's theory of constraints (70H45) Uncertainty relations, also entropic (81S07)

Related Items (1)

A multi-granularity distance with its application for decision making

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• The application of the matrix calculus to belief functions.
• Decision-making with belief functions: a review
• On the plausibility transformation method for translating belief function models to probability models
• Quantum probabilities as Dempster-Shafer probabilities in the lattice of subspaces
• Fuzzy sets
• Upper and Lower Probabilities Induced by a Multivalued Mapping

This page was built for publication: An improved quantum combination method of mass functions based on supervised learning