Modelling with Words 2003

@proceedings{DBLP:conf/mww/2003,
  editor    = {Jonathan Lawry and
               James G. Shanahan and
               Anca L. Ralescu},
  title     = {Modelling with Words - Learning, Fusion, and Reasoning within
               a Formal Linguistic Representation Framework},
  booktitle = {Modelling with Words - Learning, Fusion, and Reasoning within
               a Formal Linguistic Representation Framework},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2873},
  year      = {2003},
  isbn      = {3-540-20487-3},
  crossref  = {DBLP:conf/mww/2003},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• Félix Díaz-Hermida, Purificación Cariñena, Alberto Bugarín, Senén Barro:
  Random Set-Based Approaches for Modelling Fuzzy Operators. 1-25
  
• Enric Hernández, Jordi Recasens:
  A General Framework for Induction of Decision Trees under Uncertainty. 26-43
  
• Rafael Alcalá, Oscar Cordón, Francisco Herrera:
  Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. 44-63
  
• Qiang Shen:
  Semantics-Preserving Dimensionality Reduction in Intelligent Modelling. 64-79
  
• Tru H. Cao:
  Conceptual Graphs for Modelling and Computing with Generally Quantified Statements. 80-101
  
• Anne Laurent, Christophe Marsala, Bernadette Bouchon-Meunier:
  Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators. 102-123
  
• Jonathan Rossiter:
  Humanist Computing: Modelling with Words, Concepts, and Behaviours. 124-152
  
• Yi-Ping Phoebe Chen:
  A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining. 153-167
  
• Patrick Paulson, Aimilia Tzanavari:
  Combining Collaborative and Content-Based Filtering Using Conceptual Graphs. 168-185
  
• Jonathan Lawry:
  Random Sets and Appropriateness Degrees for Modelling with Labels. 186-208
  
• Hisao Ishibuchi, Takashi Yamamoto:
  Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling. 209-228