Construction of a neuron-fuzzy classification model based on feature-extraction approach

Expert Systems with Applications

Volumn 38, Issue 1, 2011, Pages 682-691

  Guo, Nai Ren ^a   Li, Tzuu Hseng S ^b  

^a TUNG FANG DESIGN UNIVERSITY   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Classification system; Feature extraction; Fuzzy theory; Neuro fuzzy system

Indexed keywords

BENCHMARK DATA; CLASSIFICATION MODELS; CLASSIFICATION RATES; CLASSIFICATION RESULTS; CLASSIFICATION SYSTEM; EVOLUTIONARY PROGRAMMING; FEATURE VARIABLE; FUZZY INFERENCE SYSTEMS; FUZZY THEORY; NEUROFUZZY SYSTEM; NEURON- FUZZY; NUMERICAL DATA; TRIANGULAR FUNCTIONS;

COMPUTER PROGRAMMING; COMPUTER SIMULATION; FUZZY INFERENCE; FUZZY SETS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; WINE;

FEATURE EXTRACTION;

EID: 77956615840     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.07.020     Document Type: Article

References (48)

1. S. Abbasbandy, M. Otadi, and M. Mosleh Numerical solution of a system of fuzzy polynomials by fuzzy neural network Information Sciences 178 8 2008 1948 1960
2. J. Abonyi, J.A. Roubos, and F. Szeifert Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization International Journal of Approximate Reasoning 32 1 2003 1 21
3. Baralis, E., & Garza, P. (2002). A lazy approach to pruning classification rules. In Proceedings of the 2002 IEEE international conference on data mining (pp. 35-42).
4. M. Brameier, and W. Banzhaf A comparison of linear genetic programming and neural networks in medical data mining IEEE Transactions on Evolutionary Computation 5 2001 17 26
5. C. Castiello, G. Castellano, and A.M. Fanelli Mindful: A framework for Meta-INDuctive neuro-fuzzy learning Information Sciences 178 16 2008 3253 3274
6. D. Chakraborty, and N.R. Pal A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification IEEE Transactions on Neural Networks 15 1 2004 110 123
7. X.G. Chang, and J.H. Lilly Evolutionary design of a fuzzy classifier from data IEEE Transactions on Systems, Man and Cybernetics - Part B 34 2004 1894 1906
8. S.-M. Chen, and F.-M. Tsai Generating fuzzy rules from training instances for fuzzy classification systems Expert Systems with Applications 35 2008 611 621
9. Corcoran, A. L., & Sen, S. (1994). Using real-valued genetic algorithms to evolve rule sets for classification. In Proceedings of IEEECEC USA (pp. 120-124).
10. D.B. Fogel System identification through simulated evolution: A machine learning approach to modeling 1991 Ginn & Co. Needham, MA
11. Forina, M. (1991). Wine and Iris recognition database. Available via anonymous ftp from ics.uci.edu indirectory /pub/machine-learning-databases.
12. Gama, J. (2001). Functional trees for classification. In Proceedings of 2001 IEEE international conference on data mining (pp. 147-154).
13. Grabisch, M., & Dispot, F. (1992). A comparison of some methods of fuzzy classification on real data. In Proceedings of the second international conference on fuzzy logic and neural networks, Iizuka, Japan (pp. 659-662).
14. N.R. Guo, T.-H.S. Li, and C.-L. Kuo Design of hierarchical fuzzy model for classification problem using gas Computers and Industrial Engineering 50 2006 90 104
15. Y.-C. Hu Determining membership functions and minimum fuzzy support in finding fuzzy association rules for classification problems Knowledge-Based Systems 19 2006 57 66
16. Y.-C. Hu Genetic algorithm in designing fuzzy information retrieval-based classifier by principal component analysis Computers and Industrial Engineering 51 2006 117 127
17. C.-M. Hung, and Y.-M. Huang Conflict-sensitivity contexture learning algorithm for mining interesting patterns using neuro-fuzzy network with decision rules Expert Systems with Applications 34 1 2008 159 172
18. H. Ishibhchi, T. Yamamoto, and T. Nakashima Hybridization of fuzzy GBML approaches for pattern classification problems IEEE Transactions on Systems, Man and Cybernetics - Part B 35 2005 359 365
19. H. Ishibuchi, T. Nakashima, and T. Morisawa Voting in fuzzy rule-based system for pattern classification problems Fuzzy Sets and Systems 103 1999 223 238
20. H. Ishibuchi, T. Nakashima, and T. Murata Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems IEEE Transactions SMC B 29 1999 601 618
21. H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka Selecting fuzzy if-then rules for classification problems using genetic algorithms IEEE Transactions Fuzzy Systems 3 1995 260 270
22. D. Kim Data classification based on tolerant rough set Pattern Recognition 34 2001 1613 1624
23. H.-M. Lee, C.-M. Chen, J.-M. Chen, and Y.-L. Jou An efficient fuzzy classifier with feature selection based on fuzzy entropy IEEE Transactions on Systems, Man and Cybernetics - Part B 31 3 2001 426 432
24. C.J. Li, and C. Jansuwan Dynamic projection network for supervised pattern classification International Journal of Approximate Reasoning 40 2005 243 261
25. T.-H.S. Li, C.-L. Kuo, and N.R. Guo Design of an EP-based fuzzy sliding-mode control for a magnetic ball suspension system Chaos, Solitons & Fractals 33 2007 1523 1531
26. C.-J. Lin, I-F. Chung, and C.-H. Chen An entropy-based quantum neuro-fuzzy inference system for classification applications Neurocomputing 70 2007 2502 2516
27. C.-T. Lin, C.-M. Yeh, S.-F. Liang, and J.-F. Chung Support-vector-based fuzzy neural network for pattern classification IEEE Transactions on Digital Object Identifier 14 2006 31 41
28. P. Meesad, and G.G. Yen Pattern classification by a neurofuzzy network: Application to vibration monitoring ISA Transactions 39 2000 293 308
29. N.E. Mitrakis, J.B. Theocharis, and V. Petridis A multilayered neuro-fuzzy classifier with self-organizing properties Fuzzy Sets and Systems 159 23 2008 3132 3159
30. A. Mittal, and L.-H. Cheong Addressing the problems of Bayesian network classification of video using high-dimensional features IEEE Transactions on Knowledge and Data Engineering 16 2 2004 230 244
31. A.V. Nandedkar, and P.K. Biswas A fuzzy min-max neural network classifier with compensatory neuron architecture IEEE Transactions on Neural Networks 18 1 2007 42 54
32. D.W. Opic, and J.W. Shavlic Actively searching for an effective neural-network ensemble Connection Science 8 1996 337 353
33. I. Ozkan, I.B. Türken, and N. Canpolat A currency crisis and its perception with fuzzy C-means Information Sciences 178 8 2008 1923 1934
34. Pang, X.-L., Feng, Y.-Q., & Wei, J. (2007). An improved document classification approach with maximum entropy and entropy feature selection. In Proceeding of 2007 international conference on machine learning and cybernetics (Vol. 7, pp. 3911-3915).
35. M. Pertselakis, and A. Stafylopatis Dynamic modular fuzzy neural classifier with tree-based structure identification Neurocomputing 71 5 2008 801 812
36. L. Sanchez, and I. Couso Advocating the use of imprecisely observed data in genetic fuzzy systems IEEE Transactions on Fuzzy Systems 15 4 2007 551 562
37. A. Sengur Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification Expert Systems with Applications 34 3 2008 2120 2128
38. M. Setnes, and H. Roubos GA-fuzzy modeling and classification: Complexity and performance IEEE Transactions on Fuzzy Systems 8 2000 509 522
39. B. Sun, Z. Gong, and D. Chen Fuzzy rough set theory for the interval-valued fuzzy information systems Information Sciences 178 13 2008 2794 2815
40. A.N. Toosi, and M. Kahani A new approach to intrusion detection based on an evolutionary soft computing model using neuro-fuzzy classifiers Computer Communications 30 10 2007 2201 2212 (Pubitemid 47094963)
41. F. Üney, and M. Türkay A mixed-integer programming approach to multi-class data classification problem European Journal of Operational Research 173 2006 910 920
42. J.S. Wang, and G.C.S. Lee Self-adaptive neuro-fuzzy inference system for classification application IEEE Transactions on Fuzzy Systems 10 6 2002 790 802
43. S.M. Weiss, and C.A. Kulikowski Computer systems that learn: Classification and prediction methods from statistics, Neural Nets, Machine Learning and Expert Systems 1991 Morgan Kaufmann Los Altos, CA
44. T.P. Wu, and S.M. Chen A new method for constructing membership functions and fuzzy rules form training examples IEEE Transactions on Systems, Man and Cybernetics - Part B 29 1 1999 25 40
45. L.A. Zadeh Fuzzy sets Information Control 8 1965 338 353
46. S.-Y. Zhao, and E.C.C. Tsang On fuzzy approximation operators in attribute reduction with fuzzy rough sets Information Sciences 178 16 2008 3163 3176
47. Zhao, S.-Y., Tsang, E. C. C., Wang, X.-Z., Chen, D.-G., & Yeung, D. S. (2006). Fuzzy matrix computation for fuzzy information system to reduce attributes. In Proceeding of 2006 international conference on machine learning and cybernetics (pp. 2300-2304).
48. E. Zhou, and A. Khotanzad Fuzzy classifier design using genetic algorithms Pattern Recognition 40 2007 3401 3414