Guest Editors
Prof. Kuei-Hu Chang, Department of Management Sciences, ROC Military Academy, Taiwan
Prof. Yung-Chia Chang, Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Taiwan
Dr. Hsiang-Yu Chung, Department of Management Sciences, ROC Military Academy, Taiwan
Summary
This special issue is dedicated to exploring the latest innovations and developments in the fields of Natural Language Processing (NLP) and Fuzzy Logic. These cutting-edge domains are pivotal in the advancement of artificial intelligence (AI), enabling machines to understand and interact with human languages and make decisions in uncertain environments. The significance of NLP is highlighted by its applications in various technologies such as chatbots, translation services, sentiment analysis, and more, which enhance user experience and accessibility. Fuzzy Logic, on the other hand, plays a crucial role in handling uncertainties and modeling complex systems, finding applications in control systems, pattern recognition, and consumer electronics.
Despite their advancements, the fields of NLP and Fuzzy Logic face several challenges. In NLP, major issues include the need for more sophisticated language models that can understand context better, the handling of multilingual data, and addressing biases in AI systems. Fuzzy Logic must overcome challenges in creating more accurate and interpretable models, integrating with other AI techniques, and improving computational efficiency.
This special issue aims to showcase the current trends, breakthroughs, and innovative applications of NLP and Fuzzy Logic. We invite researchers and practitioners to contribute their original research articles and review studies, shedding light on both theoretical and practical aspects of these technologies.
Relevant Topics:
1. Advances in language models and contextual understanding in NLP
2. Techniques for multilingual and cross-lingual NLP applications
3. Addressing biases and ethical considerations in AI and NLP
4. Innovative applications of Fuzzy Logic in control systems and robotics
5. Integration of Fuzzy Logic with other AI techniques, such as neural networks
6. Enhancements in speech recognition and synthesis
7. Developments in sentiment analysis and emotion detection
8. Applications of NLP in healthcare and biomedical fields
9. Efficient computational methods for Fuzzy Logic systems
10. Trends in AI-driven decision-making and uncertainty management systems
Keywords
natural language processing (NLP); fuzzy logic; AI and machine learning; semantic analysis; speech recognition; text mining; decision-making systems; uncertainty management; intelligent systems; pattern recognition
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