2025 marks six decades since the inception of fuzzy set theory that revolutionized how uncertainty and imprecision are addressed in mathematical modeling. By embracing partial membership rather than binary logic, fuzzy set theory laid the groundwork for handling ambiguity in complex systems, influencing fields such as artificial intelligence (AI), decision-making, and control systems.
Over the years, fuzzy set theory has evolved alongside AI, inspiring a range of methodologies, including fuzzy logic, type-2 fuzzy sets, intuitionistic fuzzy sets, neutrosophic fuzzy sets and other extensions. These advancements enable AI systems to incorporate interpretability and manage uncertainty effectively, especially in applications such as machine learning, natural language processing, decision support, and predictive analytics. The synergy between fuzzy set theory and AI continues to push boundaries, with novel applications in autonomous systems, robotics, intelligent healthcare solutions, and sustainable technologies.
This Research Topic invites researchers and practitioners to explore the intersections of fuzzy set theory and artificial intelligence, focusing on next-generation solutions that integrate uncertainty to enhance adaptability and precision. Contributions can include original research and reviews addressing advancements in fuzzy methodologies, new AI applications, and hybrid approaches that combine fuzzy logic with deep learning, reinforcement learning, or other innovative techniques. Topics of interest include but are not limited to:
- Fuzzy systems for enhancing explainable AI (XAI)
- AI-driven decision-making under uncertainty
- Integration of fuzzy logic in autonomous and intelligent systems
- Hybrid models combining fuzzy set theory with other computational intelligence techniques
- Applications in environmental sustainability, financial modeling, smart cities and healthcare.
This Research Topic celebrates the transformative role of fuzzy set theory in AI and seeks to inspire innovations that address the challenges of real-world complexity and uncertainty. By fostering interdisciplinary contributions, it aims to drive the next wave of research and applications, combining the role of fuzzy sets and AI in solving applied problems.
Keywords: fuzzy set theory, uncertainty, artificial intelligence, fuzzy systems applications
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
