Fuzzy Rule Interpolation “FIVE”:
Kovács, Sz.: Extending the Fuzzy
Rule Interpolation "
Kovács, Sz., Kóczy, L.T.: The use of the concept of vague environment in approximate fuzzy reasoning, Fuzzy Set Theory and Applications, Tatra Mountains Mathematical Publications, Mathematical Institute Slovak Academy of Sciences, vol.12., pp.169-181, Bratislava, Slovakia, (1997) – Draft version.
Kovács, Sz., Kóczy, L.T.: Approximate Fuzzy Reasoning Based on Interpolation in the Vague Environment of the Fuzzy Rulebase as a Practical Alternative of the Classical CRI, Proceedings of the 7th International Fuzzy Systems Association World Congress, pp.144-149, Prague, Czech Republic, (1997) – Draft version.
Kovács, Sz.: New
Aspects of Interpolative Reasoning, Proceedings of the 6th.
International Conference on Information Processing and Management of
Uncertainty in Knowledge-Based Systems, pp.477-482,
FRI Applications:
Vehicle control:
Sz. Kovács: Interpolative
Fuzzy Reasoning and Fuzzy Automata in Adaptive System Applications,
Proceedings of the IIZUKA2000, 6th International Conference on Soft
Computing, October 1-4, Iizuka, Fukuoka, Japan, pp.777-784, (2000) – Draft version.
Sz. Kovács: Similarity
based Control Strategy Reconfiguration by Fuzzy Reasoning and Fuzzy Automata,
Proceedings of the IECON-2000, IEEE International Conference on Industrial
Electronics, Control and Instrumentation, October 22-28, Nagoya, Japan,
pp.542-547, (2000) – Draft version.
Kovács, Sz., Kóczy, L.T.: Application of an approximate fuzzy logic controller in an AGV steering system, path tracking and collision avoidance strategy, Fuzzy Set Theory and Applications, Tatra Mountains Mathematical Publications, Mathematical Institute Slovak Academy of Sciences, Vol.16, pp. 456-467, Bratislava, Slovakia, (1999) – Draft version.
Kovács, Sz., Kóczy, L.T.: 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, Computational Intelligence - Theory and Applications, Lecture Notes in Computer Science, 1226, Springer, pp.456-467, Germany, (1997) – Draft version.
User adaptive applications (Kansei Technology):
Sz. Kovács: Fuzzy
Reasoning and Fuzzy Automata in User Adaptive Systems, Proceedings of the
18th Hungarian-Korean Seminar on Soft Computing & Computational
Intelligence, October 2-3, Budapest, Hungary, ISBN 963 206 066 0, pp.63-72,
(2002) – Draft version. Presentation
slides.
Sz. Kovács: Fuzzy
Reasoning and Fuzzy Automata in User Adaptive Emotional and Information
Retrieval Systems, Proceedings
of the 2002 IEEE International Conference on Systems, Man and Cybernetics,
October 6-9, Hammamet, Tunisia,
02CH37349C, ISBN: 0-7803-7438-X, WP1N5, p.6, (2002) – Draft
version.
Sz. Kovács, N. Kubota, K. Fujii and L.T. Kóczy: Behaviour based techniques in user adaptive Kansei technology,
Proceedings of the VSMM2000, 6th International Conference on Virtual
Systems and Multimedia, October 3-6, Ogaki, Gifu, Japan, pp.362-369, (2000)
– Draft
version.
Sz. Kovács, N. Kubota, K. Fujii and L.T. Kóczy: Interpolative Fuzzy Reasoning and Fuzzy Automata in Kansei Technology, Proceedings of the AFSS2000, the Fourth Asian Fuzzy Systems Symposium, pp.335-340, May 31-June 3, Tsukuba, Japan, (2000) – Draft version.
User adaptive applications Matlab code.
Adaptive applications:
Sz. Kovács: Interpolative Fuzzy Reasoning in Behaviour-based Control, Advances in Soft Computing, Vol. 2, Computational Intelligence, Theory and Applications, Bernd Reusch (Ed.), Springer, Germany, ISBN 3-540-22807-1, pp.159-170, (2005). – Draft version.
Sz. Kovács, L. T. Kóczy: Application of Interpolation-based Fuzzy Logic Reasoning in Behaviour-based Control Structures, Proceedings of the FUZZIEEE, IEEE International Conference on Fuzzy Systems, 25-29 July, Budapest, Hungary, IEEE Catalog Number: 04CH37542C, ISBN: 0-7803-8354-0, p.6, (2004) – Draft version.
Sz. Kovács: Fuzzy Behaviour-based Control
Techniques in Adaptive System Applications, Proceedings of the
Sz. Kovács: Similarity
Based System Reconfiguration by Fuzzy Classification and Hierarchical
Interpolate Fuzzy Reasoning, Lecture Notes in Computer Science, Vol. 1625,
Bernard Reusch (Ed.), Springer, pp.12-19, Germany, (1999). – Draft
version.
Reinforcement Learning:
Sz. Kovács: SVD Reduction in Continuos Environment Reinforcement Learning, Lecture Notes in Computer Science, Vol. 2206, Computational Intelligence, Theory and Applications, Bernard Reusch (Ed.), Springer, ISBN 3-540-42732-5, pp.719-738, Germany, (2001). – Draft version.