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László T. Kóczy: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. László T. Kóczy, Leila Muresan
    Interpolation in Hierarchical Rule-Bases with Normal Conclusions. [Citation Graph (0, 0)][DBLP]
    AFSS, 2002, pp:34-39 [Conf]
  2. Péter Baranyi, László T. Kóczy
    Saving Calculation in Information Retrieval. [Citation Graph (0, 0)][DBLP]
    FQAS, 2000, pp:337-349 [Conf]
  3. Alex Chong, Tamás D. Gedeon, Kok Wai Wong, László T. Kóczy
    A Histogram-based Rule Extraction Technique for Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:638-641 [Conf]
  4. János Botzheim, Botond Hámori, László T. Kóczy
    Extracting Trapezoidal Membership Functions of a Fuzzy Rule System by Bacterial Algorithm. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 2001, pp:218-227 [Conf]
  5. László T. Kóczy
    Approximate Reasoning and Control with Sparse and/or Inconsistent Fuzzy Rule Bases. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1992, pp:42-65 [Conf]
  6. Szilvester Kovácz, László T. Kóczy
    Application of the Approximate Fuzzy Reasoning Based on Interpolation in the Vague Environment of the Fuzzy Rulebase in the Fuzzy Logic Controlled Path Tracking Strategy of Differential Steered AGVs. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1997, pp:456-467 [Conf]
  7. Kok Wai Wong, László T. Kóczy, Tamás D. Gedeon, Alex Chong, Domonkos Tikk
    Improvement of the Cluster Searching Algorithm in Sugeno and Yasukawa's Qualitative Modeling Approach. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 2001, pp:536-549 [Conf]
  8. B. S. U. Mendis, Tamás D. Gedeon, László T. Kóczy
    Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:34- [Conf]
  9. Seok-Woo Han, He-Jue Eun, Yong-Sung Kim, László T. Kóczy
    A Document Classification Algorithm Using the Fuzzy Set Theory and Hierarchical Structure of Document. [Citation Graph (0, 0)][DBLP]
    ICCSA (1), 2004, pp:122-133 [Conf]
  10. László T. Kóczy
    Maximal Availability of Tree-Structured Fault-Tolerant Systems. [Citation Graph (0, 0)][DBLP]
    Fehlertolerierende Rechensysteme, 1987, pp:314-323 [Conf]
  11. B. S. U. Mendis, Tamás D. Gedeon, János Botzheim, László T. Kóczy
    Generalised Weighted Relevance Aggregation Operators for Hierarchical Fuzzy Signatures. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2006, pp:198- [Conf]
  12. László T. Kóczy
    On some basis theoretical problems of fuzzy mathematics. [Citation Graph (0, 0)][DBLP]
    Acta Cybern., 1977, v:3, n:, pp:225-237 [Journal]
  13. László T. Kóczy, Tamás D. Gedeon, Judit A. Kóczy
    Fuzzy tolerance relations and relational maps applied to information retrieval. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:126, n:1, pp:49-61 [Journal]
  14. Domonkos Tikk, István Joó, László T. Kóczy, Péter Várlaki, Bernhard Moser, Tamás D. Gedeon
    Stability of interpolative fuzzy KH controllers. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:125, n:1, pp:105-119 [Journal]
  15. László T. Kóczy
    Algorithmic aspects of fuzzy control. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1995, v:12, n:3-4, pp:159-219 [Journal]
  16. László T. Kóczy, Kaoru Hirota
    Approximate reasoning by linear rule interpolation and general approximation. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1993, v:9, n:3, pp:197-225 [Journal]
  17. Domonkos Tikk, László T. Kóczy, Tamás D. Gedeon
    A survey on universal approximation and its limits in soft computing techniques. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:33, n:2, pp:185-202 [Journal]
  18. László T. Kóczy, Kaoru Hirota
    Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1993, v:71, n:1-2, pp:169-201 [Journal]
  19. Péter Baranyi, László T. Kóczy, Tamás D. Gedeon
    Improved Fuzzy and Neural Network Algorithms for Word Frequency Prediction in Document Filtering. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:3, pp:88-95 [Journal]
  20. László T. Kóczy, Kaoru Hirota, Tamás D. Gedeon
    Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:1, pp:95-101 [Journal]
  21. Joon Hee Han, László T. Kóczy, Timothy Poston
    Fuzzy Hough transform. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1994, v:15, n:7, pp:649-658 [Journal]
  22. László T. Kóczy
    Fuzziness and computational intelligence: dealing with complexity and accuracy. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:2, pp:178-184 [Journal]
  23. Péter Baranyi, László T. Kóczy, Tamás D. Gedeon
    A generalized concept for fuzzy rule interpolation. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2004, v:12, n:6, pp:820-837 [Journal]
  24. Kok Wai Wong, Domonkos Tikk, Tamás D. Gedeon, László T. Kóczy
    Fuzzy rule interpolation for multidimensional input spaces with applications: a case study. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2005, v:13, n:6, pp:809-819 [Journal]
  25. László T. Kóczy, Kaoru Hirota
    Size reduction by interpolation in fuzzy rule bases. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1997, v:27, n:1, pp:14-25 [Journal]

  26. Fuzzy Flip-Flops and Neural Nets? [Citation Graph (, )][DBLP]


  27. Increasing Diagnostic Accuracy by Meta Optimization of Fuzzy Rule Bases. [Citation Graph (, )][DBLP]


  28. Fuzzy Signature and Cognitive Modelling for Complex Decision Model. [Citation Graph (, )][DBLP]


  29. Fuzzy Flip-Flops Revisited. [Citation Graph (, )][DBLP]


  30. A Remark on Adaptive Scheduling of Optimization Algorithms. [Citation Graph (, )][DBLP]


  31. Specialised neural network for learning synonyms and related concepts in large document collections. [Citation Graph (, )][DBLP]


  32. Robot Cooperation without Explicit Communication by Fuzzy Signatures and Decision Trees. [Citation Graph (, )][DBLP]


  33. Applying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks. [Citation Graph (, )][DBLP]


  34. Solution for Fuzzy Road Transport Traveling Salesman Problem Using Eugenic Bacterial Memetic Algorithm. [Citation Graph (, )][DBLP]


  35. Optimizing Fuzzy Flip-Flop Based Neural Networks by Bacterial Memetic Algorithm. [Citation Graph (, )][DBLP]


  36. Modified bacterial memetic algorithm used for fuzzy rule base extraction. [Citation Graph (, )][DBLP]


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