Sadržaj:
  • Random Set-Based Approaches for Modelling Fuzzy Operators
  • - Felix Díaz-Hermida, Purificación Cariñena, Alberto Bugarín, Senén Barro
  • A General Framework for Induction of Decision Trees under Uncertainty
  • - Enric Hernández, Jordi Recasens
  • Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models
  • - Rafael Alcalá, Oscar Cordón, Francisco Herrera
  • Semantics-Preserving Dimensionality Reduction in Intelligent Modelling
  • - Qiang Shen
  • Conceptual Graphs for Modelling and Computing with Generally Quantified Statements
  • - Tru H. Cao
  • Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators
  • - Anne Laurent, Christophe Marsala, Bernadette Bouchon-Meunier
  • Humanist Computing: Modelling with Words, Concepts, and Behaviours
  • - Jonathan Rossiter
  • A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining
  • - Yi-Ping Phoebe Chen
  • Combining Collaborative and Content-Based Filtering Using Conceptual Graphs
  • - Patrick Paulson, Aimilia Tzanavari
  • Random Sets and Appropriateness Degrees for Modelling with Labels
  • - Jonathan Lawry
  • Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling
  • - Hisao Ishibuchi, Takashi Yamamoto