Advanced Research in Fuzzy System and Neural Networks
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 2057
Special Issue Editor
Special Issue Information
Dear Colleagues,
The development of fuzzy logic systems is still little-known, but there have been numerous advances in this area. Researchers, academics and practitioners have granted considerable attention to fuzzy logic systems, which has been applied in a variety of fields. Furthermore, fuzzy logic is capable of working with uncertain data, and its several extensions can be applied to a wide range of evaluation and decision-making problems. Many domains, including the sciences, engineering, economics, and management, have also incorporated fuzzy logic systems and their extensions into their evaluation and decision-making processes.
Neural networks, on the other hand, are a relatively novel paradigm that offers models and techniques for handling incomplete and/or uncertain information regarding real-world problems. The area of neural networks has been widely researched, generating the development of multiple variations in the original model of the perceptron neural network, such as the feed forward neural network, convolutional neural network, recurrent neural network, neuro-fuzzy networks, and more; these approaches offer a wide array of theoretical and practical tools for advanced research.
This Special Issue aims to publish original or review articles that focus on the current advances, methodologies, and applications of fuzzy systems and neural networks. Special attention will be paid to research works that address practical problems regarding the application of evaluation and decision-making methods in fuzzy modeling, neural networks and neuro-fuzzy networks. Contributions that attend to the following topics are particularly welcome.
Prof. Dr. Fernando Gaxiola
Guest Editor
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Keywords
- fuzzy logic
- fuzzy systems
- feed forward neural network
- multilayer perception
- convolutional neural network
- recurrent neural network
- LSTM—long short-term memory network
- sequence to sequence models
- modular neural network
- neuro-fuzzy networks
- application of soft computing models
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