IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2027)

The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2027) explores advancements in fuzzy systems, including their theoretical foundations, applications in various industries, and integration with computational intelligence and emerging technologies.

Key Topics

• Fuzzy logic and its industrial, financial, biological and medical applications
• Fuzzy modelling, identification and fault detection
• Computational intelligence in environmental sciences
• Fuzzy web engineering, information retrieval, text mining and social network analysis
• Mathematical and theoretical foundations of fuzzy sets, measures and integrals
• Fuzzy systems with big data and cloud computing, fuzzy analytics and visualization
• Fuzzy databases and information retrieval
• Fuzzy control, robotics, sensors, fuzzy hardware and architectures
• Fuzzy systems design and optimization
• Adaptive, hierarchical and hybrid (neuro- and evolutionary-) fuzzy systems
• Fuzzy information processing, information extraction and fusion
• Fuzzy Markup Language and standard technologies for fuzzy systems
• Rough sets, imprecise probabilities, possibilities approaches
• Fuzzy decision analysis, multi-criteria, decision making and decision support
• Fuzzy data analysis, fuzzy clustering, classification and pattern recognition
• Fuzzy image, speech and signal processing, vision and multimedia data
• Type-2 fuzzy sets, computing with words and granular computing
• Computational intelligence in safety of critical systems, cyber-physical systems and cyber-security
• Fuzzy sets and soft computing in social sciences, linguistic summarization, natural language processing
• Fuzzy logic in civil engineering and geographical information systems
• Hardware/Software for fuzzy systems
• Knowledge discovery, learning, reasoning and knowledge representation

Who should attend

• Cybersecurity and risk management specialists
• Artificial intelligence and machine learning researchers
• Control systems and robotics engineers
• Data scientists and big data analysts
• Academics and students in computational intelligence
• Software developers and IT professionals
• Industry experts in industrial and financial applications
• Healthcare and biomedical engineers
• Natural language processing and linguistic computing specialists
• Decision support and optimization professionals