Advance in Artificial Intelligence and Soft Computing with Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 15
Special Issue Editor
Special Issue Information
Dear Colleagues,
Soft computing is a collection of computational methods focused on handling uncertainty and imprecision problems. It simulates the behavior of complex systems through flexible algorithms without relying on precise numerical calculations or strict logical reasoning. By embracing uncertainty, soft computing methods can effectively enhance the robustness and adaptability of problem solving, making them suitable for scenarios with fuzzy information and dynamic changes. Recently, the integration of soft computing and artificial intelligence has shown its advantage in effectively promoting the solution of complex problems. It has become one of the core directions of current intelligent technology development.
This Special Issue seeks to gather innovative research that advances the theory, methodologies, and applications of the combination of soft computing methods (e.g., fuzzy set, granular computing, and lattice theory) and artificial intelligence methods (e.g., deep learning, reinforcement learning, attention mechanism, graph neural network, and topological data analysis).
Prof. Dr. Lankun Guo
Guest Editor
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Keywords
- deep learning
- soft computing
- attention mechanism
- neural network
- granular computing
- knowledge graph
- fuzzy set
- lattice theory
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