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Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System
Abstract
The set of fuzzy connectives can be seen as an important combination tool, such as in combining the antecedent sets of the rules, in multi-criteria decision making and in combining the outputs of neural classifiers in a multi-neural system. This papers investigates the performance of some fuzzy combination schemes applied to a multi hybrid neural system which is composed of neural and fuzzy neural networks. An empirical evaluation in a handwritten numeral recognition task is used to investigate the performance of the presented fuzzy methods with some existing combination methods.
References
- A Canuto. Combining Neural Networks and Fuzzy Logic for Applications in Character Recognition. PhD thesis, Department of Electronics, University of Kent, July 2001 . Google Scholar
A. Canuto , G. Howells and M. Fairhurst , Fuzzy multi-layer perceptron for binary pattern recognition, Seventh International Conference on Image Processing and Its ApplicationI (1999) pp. 260–264. Google ScholarA. Canuto , G. Howells and M. Fairhurst , Repart: A modified fuzzy artmap for pattern recognition, 6th Fuzzy Days (1999) pp. 159–168. Google Scholar- Journal of Intelligent and Robotics Systems 29(4), 317 (2000), DOI: 10.1023/A:1008159908688. Crossref, ISI, Google Scholar
A. Canuto , G. Howells and M. Fairhurst , Network combination strategies for a hybrid neuro-fuzzy multi-expert system, 8th Information Processing and Management of Uncertainty in Knowledge-Based Systems ConferenceIII (2000) pp. 1512–1517. Google ScholarJ. Cao , G. M. Shridhar and M. Ahmadi , Fusion of classifiers with fuzzy integrals, Third International Conference on Document Analysis and RecognitionI (1995) pp. 108–111. Google Scholar- Fuzzy Sets and Systems 114, 367 (1994), DOI: 10.1016/S0165-0114(98)00145-6. Crossref, ISI, Google Scholar
- International Journal of Approximate Reasoning 12, 358 (1995). Google Scholar
- IEEE Transactions on Neural Networks 6(2), 497 (1995). Medline, ISI, Google Scholar
- Ann. Inst. Fourier 5, 131 (1953). Crossref, Google Scholar
- Fuzzy Sets and Systems 14, 143 (1984), DOI: 10.1016/0165-0114(84)90097-6. Crossref, ISI, Google Scholar
- IEEE Transactions on Fuzzy Systems 3(2), 236 (1995), DOI: 10.1109/91.388176. Crossref, ISI, Google Scholar
- M D Garris and R A Wilkinson. Nist: Special database 19. National Institute of Standards and Technology, Gaithersburg, MD 20899, USA, 1992 . Google Scholar
- Fuzzy Sets and Systems 69, 279 (1995), DOI: 10.1016/0165-0114(94)00174-6. Crossref, ISI, Google Scholar
- IEEE Transactions on Pattern Analysis and Machine Intelligence 5(16), 550 (1994). Google Scholar
L. Kuncheva , J. Bezdek and M. Sutton , On combining multiple classifiers by fuzzy templates, Proceedings of the 1998 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'98 (1998) pp. 193–197. Google Scholar- , OWA-Based computing: Learning algorithms, eds.
R. R. Yager and J. Kacprzyk (Kluwer Academic Publishers, 1997) pp. 309–320. Google Scholar - , Multi-net System, ed.
A. J. C. Sharkey (Spring-Verlag, 1999) pp. 1–30. Crossref, Google Scholar - M Sugeno. Theory of Fuzzy Integrals and its Applications. PhD thesis, Tokyo Institute of Technology, 1974 . Google Scholar
- Pattern Recognition Letters 20, 429 (1999), DOI: 10.1016/S0167-8655(99)00012-4. Crossref, ISI, Google Scholar
- IEEE Trans. on Systems, Man and Cibernetics 18(1), 183 (1988), DOI: 10.1109/21.87068. Crossref, ISI, Google Scholar
- Inf. Cont. 8, 338 (1965), DOI: 10.1016/S0019-9958(65)90241-X. Crossref, Google Scholar
- Fuzzy Sets and Systems 4, 37 (1980), DOI: 10.1016/0165-0114(80)90062-7. Crossref, ISI, Google Scholar
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