A self-organizing feature map-driven approach to fuzzy approximate reasoning

Expert Systems with Applications

Volumn 33, Issue 2, 2007, Pages 509-521

  Lee, Kun Chang ^a   Cho, Hyung Rae ^b   Kim, Jin Sung ^c  

^a Sungkyunkwan University   (South Korea)

^b Gyeongsang National University   (South Korea)

^c Jeonju University   (South Korea)

Author keywords

Fuzzy approximate reasoning (FAR); Fuzzy neural network; Self organizing FAR (SOFAR); Self organizing feature map (SOFM)

Indexed keywords

BACKPROPAGATION; DECISION MAKING; FUZZY SETS; LOGIC PROGRAMMING; SELF ORGANIZING MAPS; STATISTICAL TESTS;

FUZZY APPROXIMATE REASONING (FAR); FUZZY NEURAL NETWORKS; PARAMETER MODIFICATIONS;

NEURAL NETWORKS;

EID: 33846459991     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.05.031     Document Type: Article

References (81)

1. Aruna, P., Puviarasan, N., & Palaniappan, B. (2003). Medical analysis and diagnosis using neuro-fuzzy model. In Eleventh international conference on advanced computing and communication, PSG College of Technology, 17-21 December.
2. Aruna P., Puviarasan N., and Palaniappan B. An investigation of neuro-fuzzy systems in psychosomatic disorders. Expert Systems with Applications 28 4 (2005) 673-679
3. Blanco A., Delgado M., and Pegalajar M.C. Identification of fuzzy dynamic systems using Max-Min recurrent neural networks. Fuzzy Sets and Systems 122 3 (2001) 451-467
4. Bortolan G., and Pedrycz W. Linguistic neurocomputing: The design of neural networks in the framework of fuzzy sets. Fuzzy Sets and Systems 128 3 (2002) 389-412
5. Buckley J.J., and Hayashi Y. Fuzzy neural networks: A survey. Fuzzy Sets and Systems 66 (1994) 1-13
6. Bugarin, A., Barro, S., & Ruiz, R. (1992). Compacting rules for fuzzy production system computation. In Proceedings of the IEEE international conference on fuzzy systems (pp. 933-940).
7. Burkhardt, D. G., & Bonissone, P. P. (1992). Automated fuzzy knowledge base generation and tuning. In Proceedings of the first IEEE international conference on fuzzy systems (pp. 179-188). San Diego, CA, USA.
8. Carpenter G.A., Grossberg S., and Rosen D.B. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4 (1991) 759-771
9. Chen S.J., and Chen S.M. A prioritized information fusion method for handling fuzzy decision-making problems. Applied Intelligence 22 3 (2005) 219-232
10. Chen Y.C., and Teng C.C. A model reference control structure using a fuzzy neural network. Fuzzy Sets and Systems 73 3 (1995) 291-312
11. Chen G., and Wei Q. Fuzzy association rules and the extended mining algorithms. Information Sciences 147 1-4 (2002) 201-228
12. Cherkassky, V., & Mulier, F. (1998). Learning from data: Concepts, theory, and methods, Wiley Europe, April.
13. Chung F.L., and Lee T. Fuzzy competitive learning. Neural Networks 7 3 (1994) 539-552
14. Data engine: An intelligent software for knowledge extraction (1995), Management Institute for Technology, Germany
15. Dickerson J.A., and Kosko B. Fuzzy function approximation with ellipsoidal rules. IEEE Transactions on Systems, Man, and Cybernetics 26 4 (1996) 542-560
16. Driankov, D., & Hellendoorn, H. (1995). Chaining of fuzzy IF-THEN rules in Mamdani-controllers. In Proceedings of the IEEE International Conference on Fuzzy Systems (pp.103-108). Yokohama, Japan, March 20-24.
17. Duan J., and Chung F.L. Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning. IEEE Transactions on Fuzzy Systems 9 2 (2001) 293-306
18. Dubois D., and Prade H. Fuzzy sets and systems: Theory and applications (1980), Academic, New York
19. Grossberg S. Neural networks and natural intelligence (1988), MIT Press, Cambride, MA
20. Gupta M.M., and Rao D.H. On the principles of fuzzy neural networks. Fuzzy Sets and Systems 61 (1994) 1-18
21. Hamza M., Ata A., and Roussin A. Ground movements due to the construction of cut-and-cover structures and slurry shield tunnel of the Cairo metro. Tunnelling and Underground Space Technology 14 3 (1999)
22. Hoffmann F., Baesens B., Martens J., Put F., and Vanthienen J. Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring. International Journal of Intelligent Systems 17 11 (2002) 1067-1083
23. Hong X., and Harris C.J. Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Transactions on Fuzzy Systems 9 1 (2001) 88-101
24. Hong T.P., and Lee C.Y. Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets and Systems 84 1 (1996) 33-47
25. Hu Y.C., Chen R.S., Hsu Y.T., and Tzeng G.H. Gery self-organizing feature maps. Neurocomputing 48 (2002) 863-877
26. Jang J.S.R. ANFIS: Adaptive network based fuzzy inference system. IEEE Transactions on Systems Man and Cybernetics 23 (1993) 665-685
27. Juang C.F., and Lin C.T. A recurrent self-organizing neural fuzzy inference network. IEEE Transactions on Neural Networks 10 4 (1999) 828-845
28. Kazemian H.B. Study of learning fuzzy controllers. Expert Systems 18 4 (2001) 186-193
29. Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1982) 59-69
30. Kohonen T. Self-organizing map. Proceedings of the IEEE 78 9 (1990)
31. Kosko B. Fuzzy systems as universal approximators. IEEE Transactions on Computers 43 11 (1994) 1329-1333
32. Kuo R.J., Chen C.H., and Hwang Y.C. An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network. Fuzzy Sets and Systems 118 1 (2001) 21-45
33. Kuo R.J., Ho L.M., and Hu C.M. Integration of self-organizing feature map and K-means algorithm for market segmentation. Computers and Operations Research 29 (2002) 1475-1493
34. Liao J., Er M.J., and Lin J. Application of a system for the automatic generation of fuzzy neural networks. Engineering Applications of Artificial Intelligence 13 3 (2002) 293-302
35. Lin, C., Chen, H., & Nunamaker, J. F. (1999). Verifying the proximity hypothesis for self-organizing maps. In Proceedings of the 32nd Hawaii international conference on system science (pp. 1-8).
36. Lin F.J., Hwang W.J., and Wai R.J. Supervisory fuzzy neural network control system for tracking periodic inputs. IEEE Transactions on Fuzzy Systems 7 1 (1999) 41-52
37. Lin C.T., and Lee C.S.G. Neural-network-based fuzzy logic control and decision system. IEEE Transactions on Computer 40 (1991) 1320-1336
38. Lin C.J., and Lin C.T. ART-based fuzzy adaptive learning control network. IEEE Transactions on Fuzzy Systems 5 4 (1997) 477-496
39. Lin F.J., and Wai R.J. Hybrid control using recurrent fuzzy neural network for linear-induction motor servo drive. IEEE Transactions on Fuzzy Systems 9 1 (2001) 102-115
40. Lin F.J., Wai R.J., and Chen H.P. A PM synchronous servo motor drive with an on-line trained fuzzy neural network controller. IEEE Transactions on Energy Conversion 13 (1998) 319-325
41. Li X., and Ruan D. Novel neural algorithms based on fuzzy rules for solving fuzzy relation equations: Part III. Fuzzy Sets and Systems 109 3 (2000) 355-362
42. Liu P. Representation of digital image by fuzzy neural network. Fuzzy Sets and Systems 130 1 (2002) 109-123
43. Madea H. An investigation on the spread of fuzziness in multi-fold multi-stage approximate reasoning by pictorial representation-under sup-min composition and triangular type membership function. Fuzzy Sets and Systems 80 2 (1996) 133-148
44. Madea, H., Yonekura, H., Nonusada, Y., & Murakami, S. (1995). A study on the spread of fuzziness in multi-fold multi-stage approximate reasoning: An approximate reasoning using parametrical t-norm. In Proceedings of the IEEE International Conference on Fuzzy Systems (pp. 1455-1460) Yokohama, Japan, March 20-24.
45. Mamdani E.H. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Transactions on Computer 26 (1977) 1182-1191
46. Manaresi N., Rovatti R., Franchi E., Guerrieri R., and Baccarani G. Automatic synthesis of analog fuzzy controllers: A hardware and software approach. IEEE Transactions on Industrial Electronics 43 1 (1996) 217-225
47. Mitra S. Neuro-fuzzy rule generation: Survey in soft computing framework. IEEE Transactions on Neural Networks 11 3 (2000)
48. Mousa R., Munib Q., and Moussa A. Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural. Expert Systems with Applications 28 4 (2005) 713-723
49. Narendra K.S., and Parthasarathy K. Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks 1 (1990) 4-27
50. Nicolini E., and Nova R. Modelling of a tunnel excavation in a non-cohesive soil improved with cement mix injections. Computers and Geotechnics 27 (2000) 249-272
51. Nie J., and Lee T.H. Self-organizing rule-based control of multivariable nonlinear servomechanisms. Fuzzy Sets and Systems 91 3 (1997) 285-304
52. Nomura, H., Hayashi, I., & Wakami, N. (1992). A learning method of fuzzy inference rules by descent method. In IEEE International Conference on Fuzzy Systems (pp. 203-210). San Diego.
53. Omlin C.W., Thornber K.K., and Gilies C.L. Fuzzy infinite state automata can be deterministically encoded into recurrent neural networks. IEEE Transactions on Fuzzy Systems 6 1 (1998) 76-89
54. Pal S.K., and Mitra S. Multilayer perceptron, fuzzy sets, and classification. IEEE Transactions on Neural Networks 3 (1992) 683-697
55. Park Y.M., Choi M.S., and Lee K.Y. An optimal tracking neuro-controller for nonlinear dynamic systems. IEEE Transactions on Neural Networks 7 (1996) 1099-1110
56. Pedrycz W. Neurocomputations in relational system. IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (1991) 289-297
57. Pham T.T., and Chen G. Some applications of fuzzy logic in rule-based expert systems. Expert Systems 19 4 (2002) 208-223
58. Quek C., and Singh A. POP-Yager: A novel self-organizing fuzzy neural network based on the Yager inference. Expert Systems with Applications 29 1 (2005) 229-242
59. Ray K.S., and Ghoshal J. Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classification. Fuzzy Sets and Systems 112 3 (2000) 449-483
60. Rojas I., Pomares H., Ortega J., and Prieto A. Self-organized fuzzy system generation from training examples. IEEE Transactions on Fuzzy Systems 8 1 (2000) 23-36
61. Souza F.J., Vellasco M.M.R., and Pacheco M.A.C. Hierarchical neuro-fuzzy quadtree models. Fuzzy Sets and Systems 130 2 (2002) 189-205
62. Tabbagh A., Dabas M., Hesse A., and Panissod C. Soil resistivity: A non-invasive tool to map soil structure horizonation. Geoderma 97 (2000) 393-404
63. Takagi H., and Hayashi I. NN-driven fuzzy reasoning. International Journal of Approximate Reasoning 5 (1991) 191-212
64. Tanaka K., Sano M., and Watanabe H. Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique. IEEE Transactions on Fuzzy Systems 3 August (1995) 271-279
65. Uehara K., and Fujise M. Multi-stage fuzzy inference formulated as linguistic-truth-value propagation and its learning algorithm based on back-propagation error information. IEEE Transactions on Fuzzy Systems 1 (1993) 205-221
66. Ultsch A., and Röske F. Self-organizing feature maps predicting sea levels. Information Sciences 144 (2002) 91-125
67. Vaziri H.H. A simple numerical model for analysis of propped embedded retaining walls. International Journal of Solids Structures 33 16 (1996) 2357-2376
68. Wang L.X. Adaptive fuzzy systems and control: Design and stability analysis (1994), Prentice-Hall, Englewood Cliffs, NJ
69. Wang L.X. A course in fuzzy systems and control (1997), Prentice-Hall, Englewood Cliffs, NJ
70. Wang L.X., and Mendel J.M. Fuzzy basis functions, universal approximation, and orthogonal least squares learning. IEEE Transactions on Neural Networks 3 (1992) 807-814
71. Wang L.X., and Mendel J.M. Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man, and Cybernetics 22 (1992) 1414-1427
72. Wong I.H., and Poh T.Y. Comparison of retaining walls for basement construction in stiff clays. Tunneling and Underground Space Technology 14 4 (1999)
73. Xu Y., Liu J., Ruan D., and Li W. Fuzzy reasoning based on generalized fuzzy If-Then rules. International Journal of Intelligent Systems 17 10 (2002) 977-1006
74. Yager R.R. The induced fuzzy integral aggregation operator. International Journal of Intelligent Systems 17 11 (2002) 1049-1065
75. Yang Y., Xu X., and Zhang W. Real-time stable self-learning FNN controller using genetic algorithm. Fuzzy Sets and Systems 100 1-3 (1998) 173-178
76. Yeung D.S., and Tsang E.C.C. A multilevel weighted fuzzy reasoning algorithm for expert systems. IEEE Transactions on Systems, Man, and Cybernetics-Part A: System and Humans 28 2 (1998) 149-158
77. Zadeh L.A. Fuzzy sets. Information and Control 8 3 (1965) 338-353
78. Zadeh L.A. A theory of approximate reasoning. Machine Intelligence 9 (1979) 149-194
79. Zadeh L.A. Syllogistic reasoning in fuzzy logic and its application to usuality and reasoning with dispositions. IEEE Transactions on Systems, Man, and Cybernetics 15 (1985) 755-763
80. Zhang J., and Morris A.J. Recurrent neuro-fuzzy networks for non-linear process modeling. IEEE Transactions on Neural Networks 10 2 (1999) 313-326
81. Zhou Y., Li S., and Jin R. A new fuzzy neural network with fast learning algorithm and guaranteed stability for manufacturing process control. Fuzzy Sets and Systems 132 2 (2002) 201-216