Soft Computing in Computational Intelligence and Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: 26 February 2026 | Viewed by 3
Special Issue Editor
Special Issue Information
Dear Colleagues,
Soft computing and machine learning have brought about revolutionary changes in everyday life as well as across numerous industries. They have enabled systems not only to operate according to pre-defined rules but also to adapt, learn, and make decisions based on uncertain, noisy, or incomplete data.
In logistics, manufacturing, and services, machine learning facilitates automation and predictive analytics, while soft computing methods assist in managing complex decision-making situations.
The Special Issue titled “Soft Computing in Computational Intelligence and Machine Learning” aims to provide a comprehensive overview of both theoretical and practical research in these fields and to serve as a platform for the presentation of new findings. Particular attention is given to innovative approaches that combine mathematical modelling and optimisation in process design and evaluation tasks.
We invite researchers working in this area of artificial intelligence to contribute original research papers, review papers, and empirical studies that stimulate discussion on the topic.
Prof. Dr. Miklós Gubán
Guest Editor
Manuscript Submission Information
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Keywords
- mathematical modelling for complex systems
- application of soft computing methods in logistics
- AI-based process optimisation
- soft computing in service systems
- machine learning for economic process evaluation
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