2009 |
34 | EE | János Botzheim,
Cristiano Cabrita,
László T. Kóczy,
António E. B. Ruano:
Fuzzy rule extraction by bacterial memetic algorithms.
Int. J. Intell. Syst. 24(3): 312-339 (2009) |
2007 |
33 | EE | Mario Drobics,
János Botzheim,
László T. Kóczy:
Increasing Diagnostic Accuracy by Meta Optimization of Fuzzy Rule Bases.
FUZZ-IEEE 2007: 1-5 |
32 | EE | László T. Kóczy,
Rita Lovassy:
Fuzzy Flip-Flops and Neural Nets?
FUZZ-IEEE 2007: 1-6 |
31 | EE | Kok Wai Wong,
Tamás D. Gedeon,
László T. Kóczy:
Fuzzy Signature and Cognitive Modelling for Complex Decision Model.
IFSA (2) 2007: 380-389 |
30 | EE | László T. Kóczy,
Rita Lovassy:
Fuzzy Flip-Flops Revisited.
IFSA (2) 2007: 643-652 |
29 | EE | János Botzheim,
Cristiano Cabrita,
László T. Kóczy,
António E. B. Ruano:
Genetic and Bacterial Programming for B-Spline Neural Networks Design.
JACIII 11(2): 220-231 (2007) |
28 | EE | Tamás D. Gedeon,
László T. Kóczy,
Alessandro Zorat:
Optimal Size Fuzzy Models.
JACIII 11(3): 335-341 (2007) |
2006 |
27 | EE | B. S. U. Mendis,
Tamás D. Gedeon,
János Botzheim,
László T. Kóczy:
Generalised Weighted Relevance Aggregation Operators for Hierarchical Fuzzy Signatures.
CIMCA/IAWTIC 2006: 198 |
26 | EE | B. S. U. Mendis,
Tamás D. Gedeon,
László T. Kóczy:
Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method.
HIS 2006: 34 |
25 | EE | László T. Kóczy:
Fuzziness and computational intelligence: dealing with complexity and accuracy.
Soft Comput. 10(2): 178-184 (2006) |
2005 |
24 | EE | Kok Wai Wong,
Domonkos Tikk,
Tamás D. Gedeon,
László T. Kóczy:
Fuzzy rule interpolation for multidimensional input spaces with applications: a case study.
IEEE T. Fuzzy Systems 13(6): 809-819 (2005) |
2004 |
23 | EE | 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.
ICCSA (1) 2004: 122-133 |
22 | EE | Péter Baranyi,
László T. Kóczy,
Tamás D. Gedeon:
A generalized concept for fuzzy rule interpolation.
IEEE T. Fuzzy Systems 12(6): 820-837 (2004) |
2003 |
21 | EE | Domonkos Tikk,
László T. Kóczy,
Tamás D. Gedeon:
A survey on universal approximation and its limits in soft computing techniques.
Int. J. Approx. Reasoning 33(2): 185-202 (2003) |
2002 |
20 | EE | László T. Kóczy,
Leila Muresan:
Interpolation in Hierarchical Rule-Bases with Normal Conclusions.
AFSS 2002: 34-39 |
19 | EE | Domonkos Tikk,
István Joó,
László T. Kóczy,
Péter Várlaki,
Bernhard Moser,
Tamás D. Gedeon:
Stability of interpolative fuzzy KH controllers.
Fuzzy Sets and Systems 125(1): 105-119 (2002) |
18 | EE | László T. Kóczy,
Tamás D. Gedeon,
Judit A. Kóczy:
Fuzzy tolerance relations and relational maps applied to information retrieval.
Fuzzy Sets and Systems 126(1): 49-61 (2002) |
2001 |
17 | | Alex Chong,
Tamás D. Gedeon,
Kok Wai Wong,
László T. Kóczy:
A Histogram-based Rule Extraction Technique for Fuzzy Systems.
FUZZ-IEEE 2001: 638-641 |
16 | EE | János Botzheim,
Botond Hámori,
László T. Kóczy:
Extracting Trapezoidal Membership Functions of a Fuzzy Rule System by Bacterial Algorithm.
Fuzzy Days 2001: 218-227 |
15 | EE | 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.
Fuzzy Days 2001: 536-549 |
2000 |
14 | | Péter Baranyi,
László T. Kóczy:
Saving Calculation in Information Retrieval.
FQAS 2000: 337-349 |
13 | EE | László T. Kóczy,
Kaoru Hirota,
Tamás D. Gedeon:
Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness.
JACIII 4(1): 95-101 (2000) |
1998 |
12 | EE | Péter Baranyi,
P. Aradi,
László T. Kóczy,
Tamás D. Gedeon:
Specialised neural network for learning synonyms and related concepts in large document collections.
KES (1) 1998: 206-212 |
11 | EE | Péter Baranyi,
I. M. Bavelaar,
Robert Babuska,
László T. Kóczy,
A. Titli,
Henk B. Verbruggen:
A method to invert a linguistic fuzzy model.
Int. J. Systems Science 29(7): 711-721 (1998) |
10 | EE | Péter Baranyi,
László T. Kóczy,
Tamás D. Gedeon:
Improved Fuzzy and Neural Network Algorithms for Word Frequency Prediction in Document Filtering.
JACIII 2(3): 88-95 (1998) |
1997 |
9 | | 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.
Fuzzy Days 1997: 456-467 |
8 | | László T. Kóczy,
Kaoru Hirota:
Size reduction by interpolation in fuzzy rule bases.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(1): 14-25 (1997) |
1995 |
7 | EE | László T. Kóczy:
Algorithmic aspects of fuzzy control.
Int. J. Approx. Reasoning 12(3-4): 159-219 (1995) |
1994 |
6 | EE | Joon Hee Han,
László T. Kóczy,
Timothy Poston:
Fuzzy Hough transform.
Pattern Recognition Letters 15(7): 649-658 (1994) |
1993 |
5 | EE | László T. Kóczy,
Kaoru Hirota:
Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases.
Inf. Sci. 71(1-2): 169-201 (1993) |
4 | EE | László T. Kóczy,
Kaoru Hirota:
Approximate reasoning by linear rule interpolation and general approximation.
Int. J. Approx. Reasoning 9(3): 197-225 (1993) |
1992 |
3 | | László T. Kóczy:
Approximate Reasoning and Control with Sparse and/or Inconsistent Fuzzy Rule Bases.
Fuzzy Days 1992: 42-65 |
1987 |
2 | | László T. Kóczy:
Maximal Availability of Tree-Structured Fault-Tolerant Systems.
Fehlertolerierende Rechensysteme 1987: 314-323 |
1977 |
1 | | László T. Kóczy:
On some basis theoretical problems of fuzzy mathematics.
Acta Cybern. 3: 225-237 (1977) |