Mathematics in Fuzzy Logic System Modeling
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Logic".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 59
Special Issue Editors
Interests: optimization supervised; learning machine; learning pattern recognition classification; fuzzy logic learning; industrial applications of FLS
Special Issues, Collections and Topics in MDPI journals
Interests: applications of computational intelligence techniques to modeling quality inspection systems; uncertain process modelling; classification problems and learning methods
Special Issues, Collections and Topics in MDPI journals
Interests: control process for nonlinear stochastic systems modeling and control, data analysis, and math teaching
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Special Issue Information
Dear Colleagues,
The application trends in fuzzy logic systems are growing rapidly. Fuzzy logic is being used in an increasing number of applications, and it is becoming a standard tool for engineers and scientists.
Fuzzy logic systems are used in a wide variety of applications in science, industry, and other fields.
This Special Issue analyzes the mathematical theory used for modeling and for generating knowledge by hybrid learning methods of any class of fuzzy logic systems. Potential topics include, but are not limited to, the hybridization of learning methods using the following:
- Derivative-based learning methods;
- Non-derivative learning;
- Learning from reinforcement;
- Machine learning:
- Unsupervised learning;
- Supervised learning;
- Semi-supervised;
- Reinforcement learning.
- Deep learning;
- Learning from natural language processing;
- Non-common learning methods;
- Imitation in robotics;
- Optimization techniques;
- Evolutionary computing;
- Neural networks;
- Heuristics;
- Metaheuristics;
- Bio-inspired algorithms.
Prof. Dr. Gerardo Maximiliano Mendez
Dr. Pascual Dorantes
Dr. María Aracelia Alcorta García
Guest Editors
Manuscript Submission Information
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Keywords
- mathematical theory in hybrid learning in fuzzy logic systems
- hybrid learning
- neural networks
- learning models
- deep learning
- big data
- data mining
- hybrid optimization
- combinatorial optimization
- bio-inspired optimization
- evolutionary computing
- heuristics
- metaheuristics
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