Rule approximation in metric spaces

SAMI 2010 - 8th International Symposium on Applied Machine Intelligence and Informatics, Proceedings

Volumn , Issue , 2010, Pages 49-52

  Kovacs L ^a  

^a UNIVERSITY OF MISKOLC   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PROCESS; EUCLIDEAN SPACES; METRIC SPACES;

SET THEORY; TOPOLOGY;

ARTIFICIAL INTELLIGENCE;

EID: 77951497513     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAMI.2010.5423702     Document Type: Conference Paper

References (8)

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2. Kovács, Sz.: Interpolation-based Fuzzy Reasoning as an Application Oriented Approach, Acta Polytechnica Hungarica, Vol. 2, No. 1, 2005, ISSN 1785-8860, pp.93-107.
3. Kóczy, L. T. and Hirota, K.: Approximate reasoning by linear rule interpolation and general approximation, in International Journal of Approximative Reasoning, 1993, pp. 197-225.
4. Tikk, D.: Investigation of fuzzy rule interpolation techniques and the universal approximation property of fuzzy controllers, Ph. D. dissertation, TU Budapest, Budapest, 1999.
5. Johanyák, Zs. Cs., Kovács, Sz.: A brief survey on fuzzy set interpolation methods, Doktoranduszok Fóruma, Miskolci Egyetem, 2006, pp. 72-77 .
6. Tikk D., Joó I., Kóczy L. T., Várlaki P., Moser B.,Gedeon T.É: Stability of interpolative fuzzy KH controllers, , in IEEE Transaction on Fuzzy Systems, ISSN 1063-6706, No. 125, 2002. pp 105-119.
7. Bouchon-Meunier, B., Marsala, C.; Rifqi, M.: Interpolative reasoning based on graduality. In Proc. FUZZ-IEEE'2000, 2000, pp. 483-487
8. L. Kovács, T. Sieber: Multi-layered Semantic Data Models, Encyclopedia of Artificial Intelligence, IGI Global Publisher, Hersey (USA) 2008, ISBN 978-1-59904-849-9.