Atlantis Studies in Uncertainty Modelling

Aims & Scope

The proceedings series Atlantis Studies in Uncertainty Modelling aims to publish high-quality peer-reviewed conference proceedings containing original research advances, both theoretical and applied, on distinct aspects and essences of uncertainty modelling and management, especially from the field of computational intelligence.

Topics covered by this series:

Theory and methods

  • Fuzzy sets and fuzzy systems
  • Mathematical fuzzy logic
  • Many-valued logics and other non-classical logics
  • Uncertainty management
  • Bayesian methods and probabilistic reasoning
  • Approximate reasoning
  • Information theory
  • Evidence and possibility theory
  • Belief theory
  • Rough sets
  • Decision-making and knowledge-based methods
  • Aggregation functions
  • Machine learning
  • Evolutionary computation
  • Neural networks
  • Hybrid models and soft methods in data analysis


  • Intelligent systems
  • Information processing
  • Decision support systems
  • Databases
  • Information retrieval
  • Information fusion
  • Image processing
  • Agents
  • Pattern recognition
  • Optimization
  • Control