FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all aspects of theory and applications of fuzzy sets and systems and its hybridisations with other artificial and computational intelligence techniques. Under its 2021 theme, ‘Handling Uncertainty in Interpretable AI’, the conference will emphasise the handling of uncertainty, in particular in the context of interpretable and interactive AI, actively promoting engagement across disciplines.

FUZZ-IEEE 2021 topics include, but are not limited to:

  • Mathematical and theoretical foundations of fuzzy sets, fuzzy measures, and fuzzy integrals,
  • Human-centric aspect of handling uncertainty in data and decision making,
  • Interpretable and Interactive approaches to uncertainty in AI,
  • 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,
  • Applications of fuzzy sets and systems, fuzzy measures and integrals,
  • Fuzzy and uncertain information processing, information extraction, and fusion,
  • Fuzzy web engineering, information retrieval, text mining, and social network analysis,
  • Fuzzy image, speech and signal processing, vision, and multimedia data analysis,
  • Fuzzy databases and informational retrieval,
  • Theory and applications of imprecise probabilities and possibilities,
  • Theory and applications at the interface of fuzzy and probabilistic approaches,
  • Interdisciplinary work on fuzzy sets and soft computing in social sciences,
  • Handling of uncertainty and imprecision in applications from security to finance,
  • Hardware and software for fuzzy systems and fusion,
  • Hybrid, e.g., neuro- and evolutionary-fuzzy systems

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