Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classification

Fuzzy Sets and Systems

Volumn 112, Issue 3, 2000, Pages 449-483

  Ray, Kumar S ^a   Ghoshal, Jayati ^b  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

Author keywords

Genetic algorithm; Multidimensional fuzzy implication; Multidimensional fuzzy reasoning; Multilayer perceptron; Pattern classification; Regularization

Indexed keywords

EID: 0344213749     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(98)00013-X     Document Type: Article

References (15)

1. D.E. Goldberg, Genetic Algorithms: Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.
2. C.C. Lee, Fuzzy logic in control systems: fuzzy logic controller - Parts I & II, IEEE Trans. System Man Cybernet. SMC-20 (2) (1990) 404-435.
3. F.A. Lootsma, Scale sensitivity and rank preservation in a multiplicative variant of the analytic hierarchy process, Report 91-20, Faculty of Technical Mathematics and Informatics, University of Delft, The Netherlands, 1991.
4. M. Mizumoto, Extended fuzzy reasoning, in: M.M. Gupta, A. Kandel, Kiszka (Eds.), Approximate Reasoning in Expert Systems, North-Holland, Amsterdam, 1985, pp. 71-85.
5. K.S. Ray, J. Ghoshal, Neuro linguistic approach to pattern recognition, Fuzzy Sets and Systems 74 (1995) 277-305.
6. K.S. Ray, J. Ghoshal, Neuro-fuzzy reasoning for occluded object recognition, Fuzzy Sets and Systems, accepted.
7. D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning internal representations by error propagation, in: D.E. Rumelhart, J.L. McClelland (Eds.), Parallel Distributed Processing: Explorations in the Microstructures of Cognition, vol I: Foundations, MIT Press, Cambridge, MA, 1986, pp. 318-362.
8. M. Sugeno, G.T. Kang, Structure identification of fuzzy model, Fuzzy Sets and Systems 28 (1) (1988) 15-33.
9. M. Sugeno, T. Takagi, Multi-dimensional fuzzy reasoning, Fuzzy Sets and Systems 9 (1983) 313-325.
10. H. Takagi, I. Hayashi, NN-driven fuzzy reasoning, Int. J. Approximate Reasoning 5 (1991) 191-212.
11. H. Takagi, N. Suzukim, Y. Kojima, Neural networks designed on approximate reasoning architecture and their applications, IEEE Trans. Neural Networks 3 (5) (1992) 752-760.
12. A.N. Tikhonov, Solutions of Ill-Posed Problems, V.H. Winston & Sons, Washington, DC, 1977.
13. E. Triantaphyllou, A quadratic programming approach in estimating similarity relations, IEEE Trans. Fuzzy Systems 1 (2) (1993) 138-145.
14. Y. Tsukamoto, An approach to fuzzy reasoning method, in: M.M. Gupta, R.K. Ragade, R.R. Yager (Eds.), Advances in Fuzzy Set Theory and Applications, North-Holland, Amsterdam, 1979, pp. 137-149.
15. L.A. Zadeh, Theory of approximate reasoning, in: J.E. Hayes, D. Michie, L.I. Mikulich (Eds.), Machine Intelligence, Ellis Harwood, Chichester, 1970, pp. 149-194.