Information Fusion and Intelligent Decision Reasoning Under Uncertainties
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 257
Editor
Special Issue Information
Dear Colleagues,
In the era of Big Data and Artificial Intelligence, the complexity of modern systems—ranging from autonomous driving and industrial IoT to financial forecasting and medical diagnostics—has increased exponentially. Central to these systems is the ability to integrate heterogeneous data from multiple sources to form a coherent understanding of the environment. However, real-world data are inherently plagued by uncertainties, including noise, incompleteness, ambiguity, and vagueness.
Traditional mathematical models often struggle to maintain robustness under these conditions. Therefore, developing advanced mathematical frameworks for Information Fusion and Intelligent Decision Reasoning is crucial. This involves not only the aggregation of data but also the transformation of that data into actionable knowledge through sophisticated reasoning mechanisms that can quantify and manage uncertainty.
This Special Issue aims to provide a platform for researchers to present cutting-edge mathematical theories, innovative algorithms, and practical applications that address the challenges of information fusion and decision-making in uncertain environments. We seek contributions that push the boundaries of how we model, process, and reason with imperfect information. Topics of interest include, but are not limited to:
- Mathematical Foundations of Uncertainty;
- Advanced Information Fusion;
- Intelligent Decision Support Systems;
- Reasoning under Vagueness;
- Synergistic integration of machine learning and uncertainty theories;
- Domain-specific fusion applications.
Dr. Luyuan Chen
Guest Editor
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Keywords
- information fusion
- intelligent decision reasoning
- uncertainty theory
- uncertainty reasoning
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