Symmetry Analysis of Uncertainty Theory and Uncertain Statistics and Their Interdisciplinary Applications

Dear Colleagues,

Uncertainty theory is a branch of mathematics relating to the analysis of uncertain phenomena whose frequencies are far from stable, while uncertain statistics constitutes a set of mathematical techniques for collecting, analyzing, and interpreting data by uncertainty theory. Nowadays, the study of uncertainty theory and uncertain statistics is in a period of rapid development, and it involves fields including finance and economics, control and decision-making, engineering, social sciences, physics, biology, and many more. The aim of this Special Issue is to attract leading researchers in these areas to include new high-quality results involving uncertainty theory and uncertain statistics and relevant interdisciplinary applications, both from a theoretical and an applied point of view. The topics of interest for this Special Issue include but are not limited to the following areas:

• Uncertain statistics;
• Uncertain differential equation;
• Uncertain renewal process;
• Uncertain programming;
• Uncertain inference control;
• Uncertain finance.

Dr. Yang Liu
Dr. Tingqing Ye
Dr. Waichon Lio
Guest Editors

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