International Journal of Approximate Reasoning, Volume 32

Volume 32, Number 1, January 2003

• János Abonyi, Johannes A. Roubos, Ferenc Szeifert:
  Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. 1-21
  
• Enrique Miranda, Gert de Cooman:
  Epistemic independence in numerical possibility theory. 23-42
  
• Joeri Engelfriet, Jan Treur:
  Multi-interpretation operators and approximate classification. 43-61
  

Volume 32, Number 2-3, February 2003

• Rudolf Kruse, Christian Borgelt:
  Information mining. 63-65
  
• Michael R. Berthold:
  Mixed fuzzy rule formation. 67-84
  
• Frank Höppner, Frank Klawonn:
  Improved fuzzy partitions for fuzzy regression models. 85-102
  
• Detlef Nauck:
  Fuzzy data analysis with NEFCLASS. 103-130
  
• Mario Drobics, Ulrich Bodenhofer, Erich-Peter Klement:
  FS-FOIL: an inductive learning method for extracting interpretable fuzzy descriptions. 131-152
  
• Andreas Nürnberger:
  A hierarchical recurrent neuro-fuzzy model for system identification. 153-170
  
• Bill C. H. Chang, Saman K. Halgamuge:
  Approximate symbolic pattern matching for protein sequence data. 171-186
  
• Rafael Alcalá, José Ramón Cano, Oscar Cordón, Francisco Herrera, Pedro Villar, Igor Zwir:
  Linguistic modeling with hierarchical systems of weighted linguistic rules. 187-215
  
• Thomas A. Runkler, James C. Bezdek:
  Web mining with relational clustering. 217-236
  
• Garen Arevian, Stefan Wermter, Christo Panchev:
  Symbolic state transducers and recurrent neural preference machines for text mining. 237-258
  
• Arthur L. Hsu, Saman K. Halgamuge:
  Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation. 259-279