Artificial intelligence

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ISSN 2710-1673

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Decision Making Method for Classifying Models Based on Intra-class Clustering on FCM-algorithm

Maksymova O.1
1 Institute of Applied Mathematics and mechanics of NAS of Ukraine

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UDC: 004.891:004.827:004.931
Publication Language: Russian
Stuc. intelekt. 2013; 18(3):171-181

Abstract: In this paper we propose a method for pattern recognition problems with strongly overlapping classes of images. The method for optimal according to some validation measure number of clusters for FCM- algorithm is implemented. The classification model that describes the data structure for pattern recognition problem and the decision making method for this model are proposed.

Keywords: uzzy classifier, fuzzy clustering, decision making

References:

  1. Vorontsov K.V. Сombinatorial approach to evaluating the quality of training algorithms / K.V. Vorontsov // Mathematical Problems of Cybernetics. - 2004. - No 13 - Moscow: Fizmatlit, 2004. – P. 5-36.
  2. Kuncheva L. I. Fuzzy Classifier Design / Kincheva L.I. – Springer Verlag, 2000. – 315 p.
  3. Ishibuchi H. Classification and Modeling with Linguistic Information Granules / H. Ishibuchi, T. Nakashima, M. Nii. – Spriger, 2005. – 307 p.
  4. Sergienko R.B. Co-evolutionary genetic algorithm to solve complex constrained optimization problems / R.B. Sergienko, E.S. Semenkin // Bulletin of the Siberian State Aerospace University named after Academician M.F. Reshetnev. – No 2 (23). – 2009. – P. 17-21.
  5. Chen N. Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization / N.Chen // CASDMKM 2004. Lecture Notes in Artificial Intelligence. – V. 3327. – Springer-Verlag, 2004. – P. 41-50.
  6. Bezdek J.C. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing / J.C. Bezdek, J. Keller, R. Krisnapuram, R. Pal. – New York : Springer Verlag, 2005. – 785 p.
  7. Handbook of Granular Computing / W. Pedrycz, A. Skowron, V. Kreinovich, [eds.]. – N.-Y. : John Wiley & Sons,2007. – 1116 p.
  8. Pal N. On Cluster Validity for the Fuzzy c-Means Model / N. Pal, J. Bezdek // IEEE Transactions on Fuzzy System. – 1995. – V. 3, No 3. – P. 370-379.
  9. Maksimova A. The Model of Data Presentation with Fuzzy Portraits for Pattern Recognition / A. Maksimova // International Journal of Computing. – 2012. – Vol. 11, Issue 1. – P. 17-24.
  10. Kozlowskyj V.A. Fuzzy pattern recognition system to solve the problems of liquid petrolium classification / V.A. Kozlowskyj, A. Yu. Maksymova // Proceedings of Donetsk National Technical University, Series «Informatics, Cybernetics and Computer Science». – 2011. – No 13 (185). – S. 200-205.
  11. Frank. A. UCI Machine Learning Repository. Wine Data Set / A. Frank, Asuncion Irvine C.A. – University of California, School of Information and Computer Science. 2010. – [http://archive.ics. uci.edu/ml/ datasets/Wine].

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