Improving accuracy of fuzzy classifiers using swarm intelligence

2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011

Volumn , Issue , 2011, Pages 170-174

  Elragal, Hassan M ^a  

^a UNIVERSITY OF BAHRAIN   (Bahrain)

Author keywords

Fuzzy classifier; Optimization of fuzzy system parameters; Particle swarm optimization; Pattern classification

Indexed keywords

CLASSIFICATION ACCURACY; FUZZY CLASSIFIERS; FUZZY INFERENCE SYSTEMS; MAMDANI; PARTICLE SWARM; SWARM INTELLIGENCE; TAKAGI-SUGENO FUZZY INFERENCE SYSTEMS;

ARTIFICIAL INTELLIGENCE; CELLULAR AUTOMATA; COMMUNICATION; FUZZY RULES; FUZZY SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); PATTERN RECOGNITION;

FUZZY INFERENCE;

EID: 80053152379     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSN.2011.6014874     Document Type: Conference Paper

References (19)

1. Yager, R. R. and Filev, D. P. "Essentials of Fuzzy Modeling and Control," .John Wiley, New York, U.S.A, 1994.
2. .Jang,.J. S., Sun, C. T. and Mizutani, E., " Neuro-Fuzzy and Soft Computing," Prentice Hall, New .Iersey, U.S.A. 1997.
3. Wang, L X. and Mendel, J. M, "Generating Fuzzy Rules by Learning from Examples," IEEE Trans. On Systems, Man and Cybernetics, Vol. 22, (1992) pp. 1414-1427.
4. .Jang, .J. S., "ANFIS: Adaptive-Network-Based Fuzzy Inference systems," IEEE Trans. on Systems, Man and Cybernetics, Vol. 23, (1993) pp. 665-685
5. Wong, C. C. and Chen, C. c., "A GA-Based Method for Constructing Fuzzy Systems Directly from Numerical Data," IEEE Trans. on Systems, Man and Cybernetics- Part B: Cybernetics, Vol. 30, (2000) pp.904-911.
6. Simpson, P. K., "Fuzzy Min-Max Neural Networks- Part I: Classification," IEEE Trans. Neural Networks, Vol. 3, Sep., (1992) pp. 776-786.
7. Xie, X.L., and G.Beni, "A validity measure for fuzzy clustering," IEEE trans. Pattern Anal. Mach. Intell. 3(8) 1991 pp. 841-846.
8. S L Chiu, "Fuzzy Model Identification Based on Cluster Estimation," Journal of Intelligent and Fuzzy Systems, 1994 pp. 267-278.
9. O. Cordon, F. Herrera, P. Villar, "Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base," IEEE Trans. Fuzzy Systems. 9 (4) (2001) 667-674.
10. SY. Ho, HM. Chen, S.J. Ho, T.K. Chen, "Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space," IEEE Trans. Syst. Man Cybern. Part B 34 (2) (2004) 1031-1044.
11. Enwang Zhou, Alireza Khotanzad, "Fuzzy classifier design using genetic algorithms", Pattern Recognition 40 (2007) 3401-3414.
12. Ata E. Zadeh Shenneh and Reza Ghaderi, "An Intelligent System for Classification of the Communication Formats Using PSO," Informatica 32 (2008) pp. 213-218.
13. Mahamed G.H. Omran, Andries P Engelbrecht, and Ayed Salman, "Dynamic Clustering using Particle Swann Optimization with Application in Unsupervised I mage Classification," Proceeding of world academy of science. Engineering and technology, volume 9, November 2005 ISSN 1307-6884.
14. Chia-Chong Chen "Design of PSO-based Fuzzy Classification Systems", Tamkang Journal of Science and Engineering," Vol. 9, No 1, (2006) pp. 63-70
15. Mamdani, E.H and S Assilian, "An experiment in linguistic synthesis with a fuzzy logic controller," International Journal of Man-Machine Studies, Vol. 7, No. 1,1975 pp. 1-13.
16. Sugeno, M., Industrial applications of fuzzy control, Elsevier Science Pub. Co., 1985.
17. James Kennedy and Russell C. Eberhart, "Swarm Intelligence", Morgan Kaufmann Publ ishers, 2001.
18. R Forrest, " Genetic Algorithms: Principles of Natural Selection Applied to Computation," Science, Vol. 261, pp. 872-878, 1993.
19. R Storn and K. Price. Differential evolution - a simple and effIicient heuristic for global optimization over continuous spaces. Journal of Global optimization, 11:341-359, 1997.