Fuzzy Sets and Modern Artificial Intelligence
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 5
Special Issue Editor
Interests: computational intelligence; visualization; information security; network security; intrusion detection; IT security; rehabilitation; cloud computing; artificial intelligence
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Special Issue Information
Dear Colleagues,
There is no question about the success of Fuzzy Sets in both theoretical and practical applications, and this has led to the emergence of Soft Computing, which is widely recognized as Computational Intelligence. Fuzzy Sets are effective and efficient in Uncertainty Management, as well as in handling perception and subjectivities. They are also (soon-to-be) well-integrated with existing theories and frameworks such as Probability and Statistics, and Machine Learning.
Such trends continue in Modern Artificial Intelligence, including, but not limited to, Deep Learning and Generative AI. However, despite their intrinsic functions and contributions, Fuzzy Sets are not necessarily investigated enough by general audiences, especially college students. While everyone is aware of, or has at least heard, of Deep Learning and Generative AI, very few people know about Fuzzy Sets.
This Special Issue is intended to address the significance of Fuzzy Sets in Modern Artificial Intelligence—whether or not they are essential and important, and whether or not they already have a legacy. In any case, it is worth addressing their current status and their future developments by reviewing their origin and progress, as well as their innovative applications, while considering their significance in Modern Artificial Intelligence.
Please note that we are soliciting papers with mathematical foundations in Fuzzy Sets and Modern Artificial Intelligence. We especially welcome those addressing computations along with logic, automata, and language (but not necessarily strictly limited to these areas). Review papers are very welcome, provided that future implications are addressed.
We very much look forward to your contributions.
Prof. Dr. Atsushi Inoue
Guest Editor
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Keywords
- fuzzy sets
- fuzzy logic
- fuzzy control
- soft computing
- computational intelligence
- neural networks
- evolutionary computing
- deep learning
- generative AI
- language models (such as LLM and SLM)
- edge AI
- pattern recognition
- intelligent control
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