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Serge Guillaume: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Serge Guillaume, Brigitte Charnomordic, André Titli
    A Distance Metric Suitable for Fuzzy Partitioning. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:264-267 [Conf]
  2. Serge Guillaume, Brigitte Charnomordic
    Knowledge discovery for control purposes in food industry databases. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:122, n:3, pp:487-497 [Journal]
  3. Serge Guillaume, Luis Magdalena
    Expert guided integration of induced knowledge into a fuzzy knowledge base. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:9, pp:773-784 [Journal]
  4. Serge Guillaume, Brigitte Charnomordic
    Generating an interpretable family of fuzzy partitions from data. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2004, v:12, n:3, pp:324-335 [Journal]
  5. José M. Alonso, Luis Magdalena, Serge Guillaume, Miguel Ángel Sotelo, Luis Miguel Bergasa, Manuel Ocaña, Ramón Flores
    Knowledge-based Intelligent Diagnosis of Ground Robot Collision with Non Detectable Obstacles. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Robotic Systems, 2007, v:48, n:4, pp:539-566 [Journal]
  6. Sébastien Destercke, Serge Guillaume, Brigitte Charnomordic
    Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2007, v:158, n:18, pp:2078-2094 [Journal]

  7. Highly Interpretable Linguistic Knowledge Bases Optimization: Genetic Tuning versus Solis-Wetts. Looking for a Good Interpretability-accuracy Trade-off. [Citation Graph (, )][DBLP]


  8. Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem. [Citation Graph (, )][DBLP]


  9. A Practical Inference Method with Several Implicative Gradual Rules and a Fuzzy Input: One and Two Dimensions. [Citation Graph (, )][DBLP]


  10. Integrating induced knowledge in an expert fuzzy-based system for intelligent motion analysis on ground robots. [Citation Graph (, )][DBLP]


  11. Practical use of fuzzy implicative gradual rules in knowledge representation and comparison with Mamdani rules. [Citation Graph (, )][DBLP]


  12. A Simplification Process of Linguistic Knowledge Bases. [Citation Graph (, )][DBLP]


  13. Expert and induced knowledge for intelligent motion analysis of ground robots. [Citation Graph (, )][DBLP]


  14. Complementary Source Information Cooperation Within a Decision System for Crop Monitoring. [Citation Graph (, )][DBLP]


  15. Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem [Citation Graph (, )][DBLP]


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