Symmetry Analysis of Uncertainty Theory and Uncertain Statistics and Their Interdisciplinary Applications
This special issue belongs to the section "Mathematics".
Special Issue Information
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
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- uncertain statistics
- uncertain differential equation
- uncertain renewal process
- uncertain programming
- uncertain inference control
- uncertain finance
- symmetric statistical invariant
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Published Papers
Symmetry - ISSN 2073-8994