Yong Deng

Prominent researcher in belief function theory, Dempster-Shafer theory, and information fusion. Leading expert in uncertainty quantification and decision-making under uncertainty. Holds positions at ETH Zurich and Japan Advanced Institute of Science and Technology, with research focus on theoretical advances and applications of belief functions to complex decision problems.

Sources in this wiki

• Belief Evolution Network-based Probability Transformation and Fusion

Topics

• Belief Functions, Dempster-Shafer Theory, Information Fusion, Uncertainty Quantification

Notes

Prolific researcher in belief function theory; major contributor to advances in probability transformations and combination rules for uncertain information.