Fuzzy rendszerek és modellek elemzése és identifikációja  részletek

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Projekt adatai

  
azonosító
48832
típus K
Vezető kutató Kóczy T. László
magyar cím Fuzzy rendszerek és modellek elemzése és identifikációja
Angol cím Analysis and identification of fuzzy systems and models
zsűri Informatikai–Villamosmérnöki
Kutatóhely Távközlési és Mesterséges Intelligencia Tanszék (Budapesti Műszaki és Gazdaságtudományi Egyetem)
résztvevők Baranyi Péter Zoltán
Botzheim János
Tari Tibor
projekt kezdete 2005-02-01
projekt vége 2009-05-31
aktuális összeg (MFt) 15.556
FTE (kutatóév egyenérték) 3.51
állapot lezárult projekt





 

Zárójelentés

  
kutatási eredmények (magyarul)
Új algoritmuscsaládot fejlesztettünk ki, a bakteriális memetikus algoritmusokat, a bakteriális evolúciós algoritmust globális, a Levenberg-Marquard algoritmust pedig lokális keresésként alkalmazva. Ez az eljárás jobb algoritmusokat eredményezett az ismert hasonló módszereknél a pontosság és a ciklusszám összefüggésében; ezt különböző referencia alkalmazások és más példák segítségével bizonyítottuk. Az alkalmazások másik csoportját a logisztika adta. Kiterjesztettük Kano minőségi modelljét fuzzy exponensekre, melyet BMA-val optimalizáltunk és megkezdtük az utazó ügynök probléma közelítő megoldásának vizsgálatát is. Megmutattuk, hogy a fuzzy szabályinterpoláció számos valós probléma megoldására alkalmas. Sikeresen foglalkoztunk komplex forgalomirányítási alkalmazásokkal, továbbá vasúti menetrend és késés miatti átütemezés kérdéskörével. Szoftverrendszert implementáltunk, mely nagyszámú fuzzy következtetési és irányítási algoritmus összehasonlítására alkalmas. Kiterjesztettük a fuzzy szignatúrákat hierarchikus struktúrákra is és a Mamdani algoritmusra is. A fuzzy szignatúrákat robotok mozgásirányítására és kommunikációjára alkalmaztuk. E robotokat szimulációs technikával és saját fejlesztésű hardver segítségével is vizsgáltuk. Új kutatási részterületet indítottunk el a fuzzy műveletek és a rajtuk alapuló fuzzy flip-floppok vizsgálatával, melyekből konnekcionista rendszereket hoztunk létre és e fuzzy neurális hálózatokat modellkonstrukcióra és approximációra alkalmaztuk.
kutatási eredmények (angolul)
We developed a new family of algorithms, the Bacterial Memetic Algorithms by combining the Bacterial Evolutionary Algorithm as a global search and the Levenberg-Marquard algorithm as a local search method. This approach provided better algorithms in terms of approximation accuracy and population cycles than other similar approaches in the literature, as it was evidenced by various benchmark and real life applications. Another group of successful applications is in the logistics area. We extended Kano’s quality model to fuzzy exponents, optimized by BMA, and we started to research for the approximate solution of the Traveling Salesman Problem.We showed that fuzzy rule interpolation could be deployed for a number of real application areas. We dealt with complex traffic control applications as well as with railway time table and delay triggered rescheduling problems successfully. We implemented a software for the comparison of a large number of fuzzy reasoning and control algorithms. We extended Fuzzy Signatures to both hierarchical structures and Mamdani’s algorithm. We applied Fuzzy Signatures for motion control and fuzzy communication of robots. Such robots were investigated both in simulation and hardware construction developed by ourselves. We started a new research sub-direction by analyzing fuzzy operators and fuzzy flip-flops based on them. We built connectionist systems from them and we used these fuzzy neural networks for model construction and approximation.
a zárójelentés teljes szövege https://www.otka-palyazat.hu/download.php?type=zarobeszamolo&projektid=48832
döntés eredménye
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Közleményjegyzék

  
Botzheim J; Cabrita C; Kóczy L T; Ruano A E: Fuzzy Rule Extraction by Bacterial Memetic Algorithms, INT J INTELL SYST 24 (3): 312-339, 2009, 2009
L. T. Kóczy: Fuzzyness and computational intelligence dealing with complexity and accuracy, Soft Computing, 2006
P. Baranyi and A. R. Várkonyi-Kóczy: TP Transformation Based, IEEE Transaction on, 2005
Botzheim J; Gál L; Kóczy L T: Fuzzy Rule Base Model Identification by Bacterial Memetic Algorithms, E. Rakus-Andersson et al. (Eds.): Recent Advances in Decision Making, Studies in Computational Intelligence 222, Springer-Verlag Berlin Heidelberg, 2009 pp. 21-43., 2009
K. W. Wong, T. D. Gedeon, L. T. Kóczy: Fuzzy Signature and Cognitive Modelling for Complex Decision Model, O. Castillo et al. (Eds.): Theor. Adv. and Appl. of Fuzzy Logic and Soft Computing, 2007
L. T. Kóczy, R. Lovassy: Fuzzy Flip-Flops Revisited, O. Castillo et al. (Eds.): Theor. Adv. and Appl. of Fuzzy Logic and Soft Computing, 2007
Földesi P; Botzheim J; Kóczy L T: Fuzzy Exponents for Heuristic Based Applications, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1. No. 3. pp. 423-435, 2008
Lovassy R; Kóczy L T; Gál L: Analyzing Fuzzy Flip-Flops Based on Verious Fuzzy Operations, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1. No. 3. 2008. pp. 447-465, 2008
Ballagi Á; Kóczy L T; Gedeon D T: Local Codebook Construction for Fuzzy Communication in Cooperation of Mobile Robots, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1. No. 3. 2008. pp. 547-560, 2008
Gál L; Kóczy L T: Advanced Bacterial memetic Algorithms, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1. No. 3. 2008. pp. 481-498, 2008
Tamás K; Kóczy L T: Inference in Fuzzy Signature Based Models, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1. No. 3. 2008. pp. 573-594., 2008
Ballagi Á; Kóczy L T: Fuzzy Signature Based Mobil Robot Motion Control System, Proc. of 6th Intern. Symp. on Applied Machine Intelligence and Informatics Herl'any pp. 29-33, 2008
B. S. U. Mendis - T. D. Gedeon - L. T. Kóczy: Flexibility and robustness of hierarchical fuzzy signature structures with perturbed input data, Int Conf Information Proc. and Management of Uncertainty, 2006
László T. Kóczy, János Botzheim: Identification and Applications, ICCC 2005 IEEE3rd Conference on Computational Cybernetics, 2005
J. Botzheim, C. Cabrita, L. T. Kóczy, A. E. Ruano: Fuzzy rule extraction by bacterial memetic algorithms, Fuzzy Logic, Soft Computing and Computational Intelligence, 11th International Fuzzy Systems Association World Congress, 2005
C. Cabrita, J. Botzheim, A. E. Ruano, L. T. Kóczy,: A Hybrid Training Method for B-spline Neural Networks, WISP 2005, IEEE International Symposium on intelligent signal processing, 2005
László T. Kóczy: Fuzzy Models and Interpolation, IEEE - SOFA2005, IEEE International Workshop on Soft Computing Applications, 2005
Kóczy T. László: FUZZY MODELS AND INTERPOLATION, BISCE 2005, Berkeley, Proceeding, 2005
S. Szaszkó – L. T. Kóczy – T. D. Gedeon: Fuzzy Pseudo-thesaurus Based Clustering of a Folkloristic Corpus, IEEE International Conference on FUZZY Systems, FUZZ-IEEE 2005, Reno, Nevada, 2005
R. Lovassy - L. T. Kóczy: Non-associative Fuzzy Flip-flop with Dual Set-Reset Feature, 4th serbian-HUngarian Joint Symp on Intell Sys., 2006
R. Lovassy - L. T. Kóczy: Comparison of elementary fuzzy sequential digital units based on various popular t-norms and co-norms, 3rd Romanian-Hungarian Joint Szmp on Appl. Comp. Intell., 2006
C. Cabrita- J. Botzheim - T. D. Gedeon -A. E. Ruano- L. T. Kóczy - C. Fonseca: Bacterial memetic algorithm for fuzzy rule base optimisation, World Automation Congress, 2006
K. W. Wong - T. D. Gedeon - L. T. Kóczy: Efficient fuzzy cognitive modelling for unstructured information, IEEE World Cong Comp Intell, 2006
B. S. U. Mendis - T. D. Gedeon - L. T. Kóczy: On the issue of learning weights from observations for fuzzy signatures, World Automation Congress, 2006
T. Tari - C. Gáspár - L. T. Kóczy - J. Hontvári: Control of traffic lights in high complexity intersections using hierarchical interpolative fuzzy methods, IEEE World Cong Comp Intell, 2006
J. Botzheim - E. Lughofer - E. P. Klement - L. T. Kóczy - T. D. Gedeon: Separated antecednt and consequent learning for Takagi-Sugeno fuzzy systems, IEEE World Cong Comp Intell, 2006
M. Bulla - P-. Keresztes - L. T. Kóczy -É. V. P. Rácz: Soft computing methods in environmental modelling, Int Conf on Interdisciplinary Education, 2006
T. Tari - C- Gáspár - L. T. Kóczy -J. Hontvári: Control of traffic lights in high complexity intersections using hierarcdhical interpolative fuzzy methods, Int Conf Inform Processing and management of Uncertainty, 2006
L. T. Kóczy, T. D. Gedeon: Context Dependent Reconstructive Communications, ISCIII'07 3rd Intern. Symposium on Computational Intelligence and Intelligent Informatics (Marokkó), 2007
M. Drobics, J. Botzheim, L. T. Kóczy: Increasing Diagnostic Accuracy by Meta Optimization of Fuzzy Rule Bases, IEEE Conference on Fuzzy Systems (London), 2007
T Héray, G. Rózsa, L. T. Kóczy: The possible applications of Fuzzy logic for the treatment of conflicts in the dispositional tasks of railway traffic control centers, IEEE Africon (Republic of Namibia), 2007
L. T. Kóczy, R. Lovassy: Fuzzy Flip-Flops and Neural Nets?, IEEE Conference on Fuzzy Systems(London), 2007
P. Soproni, J. Botzheim, T. Cinkler, L. T. Kóczy: Grooming-Enhanced Multicast in Multilayer Networks with Bacterial Evolutionary Algorithm, 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (Budapest), 2007
K. Tamás, L. T. Kóczy: Mamdani-type Inference in Fuzzy Signature Based Rule Bases, 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (Budapest), 2007
R. Lovassy, L. T. Kóczy: S-Shaped Fuzzy Flip-Flops, 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (Budapest), 2007
Tamás K; Kóczy L T: Selection from a Fuzzy Signature Database by Mamdani-algorithm, Proc. of 6th International Symposium on Applied Machine Intelligence and Informatics, 2008
Balázs K; Kóczy L T; Botzheim J: Comparison of Fuzzy Rule-based Learning and Inference Systems, Proc. 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (CINTI 2008), Budapest, 6-8 November, 2008 pp. 61-75., 2008
Lovassy R; Kóczy L T; Gál L: Applicability of Fuzzy Flip-Flops in the Implementation of Neural Networks, Proc. 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics (CINTI 2008), Budapest, 6-8 November, 2008 pp. 333-344, 2008
Lovassy R; Kóczy L T; Gál L: Multilayer Perceptron Implemented by Fuzzy Flip-Flops, Proc. 2008 IEEE World Congress on Computational Intelligence (WCCI 2008) Hong Kong, June 1-6, 2008. pp. 1683-1688., 2008
Lovassy R; Kóczy L T; Gál L: Fuzzy Flip-Flop Based Neural Network as a Function Approximator, Proc. IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2008) Istanbul, Turkey, 14-16 July 2008. pp. 44-49., 2008
Gál L; Botzheim J; Kóczy L T: Improvements to the Bacterial Memetic Algorithm used for Fuzzy Rule Base Extraction, Proc. IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2008) Istanbul, Turkey, 14-16 July 2008. pp. 38-43, 2008
Gál L; Botzheim J; Kóczy L T: Modified Bacterial Memetic Algorithm used for Fuzzy Rule Base Extraction, Proc. The 5th Intern. Conf. on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), Cergy Pontoise, Paris, France October 28-31. 2008 pp. 425-431, 2008
Gál L; Botzheim J; Kóczy L T; Ruano A E: Fuzzy Rule Base Extraction by the Improved Bacterial Memetic Algorithm, Proc. 6th International Symposium on Applied Machine Intelligence and Informatics Herl’any, Slovakia, January 21-22, 2008. pp. 49-53., 2008
Földesi P; Kóczy L T; Botzheim J: Fuzzy Solution for Non-linear Quality Models, Proc. 12th International Conference on Intelligent Engineering Systems (INES 2008) Miami, Florida, February 25-29, 2008. pp. 269-275., 2008
Ballagi Á; Kóczy L T; Gedeon D T: Robot Cooperation without Explicit Communication by Fuzzy Signatures and Decision Trees, Proc. Intern. Fuzzy Systems Association World Congress (IFSA/EUSFLAT 2009) Lisbon, Portugal, 20-24 July, 2009 pp. 1468-1473, 2009
Lovassy R; Kóczy L T; Gál L: Optimizing Fuzzy Flip-Flop Based Neural Networks by Bacterial Memetic Algorithm, Proc. Intern. Fuzzy Systems Association World Congress (IFSA/EUSFLAT 2009) Lisbon, Portugal, 20-24 July, 2009 pp. 1508-1513, 2009
Botzheim J; Földesi P; Kóczy L T: Solution for Fuzzy Road Transport Traveling Salesman Problem Using Eugenic Bacterial Memetic Algorithm, Proc. Intern. Fuzzy Systems Association World Congress (IFSA/EUSFLAT 2009) Lisbon, Portugal, 20-24 July, 2009 pp. 1667-1672, 2009
Gál L; Botzheim J; Kóczy L T; Ruano A E: Applying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks, Proc. Intern. Fuzzy Systems Association World Congress (IFSA/EUSFLAT 2009) Lisbon, Portugal, 20-24 July, 2009 pp. 1833-1838, 2009
Ballagi Á; Kóczy L T; Gedeon D T: Motion control and communication of cooperating intelligent robots by fuzzy signatures, Proc. IEEE Intern. Conf. on Fuzzy Systems (FUZZ-IEEE 2009) August 20-24, Jeju, Korea, 2009 pp. 1073-1078, 2009
Földesi P; Kóczy L T; Botzheim J; Farkas M: Eugenic Bacterial Memetic Algorithm for Fuzzy Road Transport Traveling Salesman Problem, Proc. The 6th Intern. Symp. on Management Engineering (ISME 2009), August 5-7, Dalian, China, 2009
Lovassy R; Kóczy L T; Gál L: Function Approximation Capability of a Novel Fuzzy Flip-Flop Based Neural Network, Proc. Intern. Joint Conference on Neural Networks (IJCNN 2009), Atlanta, Georgia, USA June 14-19, 2009 pp. 1900-1907, 2009
Lovassy R; Kóczy L T; Gál L: Parameter Optimization in Fuzzy Flip-Flop Based Neural Networks, Proc. INISTA 2009, June 29 - July 1, Trabzon, Turkey, 2009



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