FUZZ-IEEE 2019 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy logic and its hybridizations with other artificial and computational intelligence techniques. In particular, FUZZ-IEEE 2019 topics include, but are not limited to:

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


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