Fuzzy rough granular neural networks, fuzzy granules, and classification

Theoretical Computer Science

Volumn 412, Issue 42, 2011, Pages 5834-5853

  Ganivada, Avatharam ^a   Dutta, Soumitra ^b   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b INSEAD   (France)

Author keywords

Fuzzy granules; Fuzzy pattern classification; Fuzzy tolerance relation; Granular computing; Rule based neural networks

Indexed keywords

AVERAGE DEGREE; CONNECTION WEIGHTS; DECISION CLASS; DEVELOPMENT STRATEGIES; DOMAIN KNOWLEDGE; FUZZY CLASS; FUZZY CLASSIFICATION; FUZZY GRANULES; FUZZY PATTERN CLASSIFICATION; FUZZY-ROUGH SETS; HIDDEN LAYERS; HIDDEN NODES; INITIAL WEIGHTS; INPUT LAYERS; INPUT VECTOR; MEMBERSHIP VALUES; MODEL-BASED OPC; MULTI LAYER PERCEPTRON; OUTPUT LAYER; REAL LIFE DATASETS; ROUGH-GRANULAR NEURAL NETWORK; RULE BASED; TARGET VECTORS; TOLERANCE RELATIONS;

BACKPROPAGATION ALGORITHMS; DECISION TABLES; GRANULAR COMPUTING; GRANULATION; MULTILAYER NEURAL NETWORKS; ROUGH SET THEORY; VECTORS;

FUZZY NEURAL NETWORKS;

EID: 80052819788     PISSN: 03043975     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tcs.2011.05.038     Document Type: Article

References (37)

1. L.A. Zadeh A new direction in AI: towards a computational theory of perceptions AI Magazine 22 2001 73 84 (Pubitemid 32293356)
2. L.A. Zadeh Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic Fuzzy Sets and Systems 19 1997 111 127 (Pubitemid 127683681)
3. S.K. Pal Computational theory perception (CTP), rough-fuzzy uncertainty analysis and mining in bioinformatics and web Intelligence: a unified framework LNCS Transactions on Rough Set 5946 2009 106 129
4. L. Kari, and G. Rozenberg The many facets of natural computing Communications of the ACM 51 10 2008 72 83
5. L.A. Zadeh Fuzzy logic, neural networks, and soft computing Communications of the ACM 37 1994 77 84
6. L.A. Zadeh Fuzzy sets Information and Control 8 1965 338 353
7. S.K. Pal, and D. Dutta Majumder Fuzzy Mathematical Approach to Pattern Recognition 1986 John Wiley, Halsted New York
8. R.P. Lippmann An introduction to computing with neural networks IEEE Magazine on Acoustics, Speech, and Signal Processing 61 1987 4 22
9. S. Haykin Neural Networks: A Comprehensive Foundation 1999 Prentice Hall New Jersey
10. S.K. Pal, and S. Mitra Multilayer perceptron, fuzzy sets, and classification IEEE Transactions on Neural Networks 3 5 1992 683 697 (Pubitemid 23555783)
11. R. Jensen, and Q. Shen New approaches to fuzzy-rough feature selection IEEE Transactions on Fuzzy Systems 17 2009 824 838
12. C. Cornelis, R. Jensen, G. Hurtado, and D. Slezak Attribute selection with fuzzy decision reducts Information Sciences 180 2010 209 224
13. M. Banerjee, S. Mitra, and S.K. Pal Rough fuzzy MLP: knowledge encoding and classification IEEE Transactions on Neural Networks 9 6 1998 1203 1216 (Pubitemid 128742402)
14. Z. Pawlak Rough Sets: Theoretical Aspects of Reasoning about Data 1991 Kluwer Netherlands
15. Z. Pawlak, and A. Skowron Rough sets and boolean reasoning Information Sciences 177 2007 41 73 (Pubitemid 44556700)
16. Z. Pawlak, and A. Skowron Rough sets: some extensions Information Sciences 177 2007 28 40 (Pubitemid 44556699)
17. Z. Pawlak, and A. Skowron Rudiments of rough sets Information Sciences 177 2007 3 27 (Pubitemid 44556698)
18. Y.Y. Yao, Stratified rough sets and granular computing, in: Proc. International Conference on Fuzzy Information Processing Society, 1999, pp. 800804.
19. S.K. Pal, and A. Skowron RoughFuzzy Hybridization: A New Trend in Decision Making 1999 Springer-Verlag Singapore
20. D. Dubois, and H. Prade Rough fuzzy sets and fuzzy rough sets International Journal of General Systems 17 1990 91 209
21. P. Lingras, R. Jensen, Survey of rough and fuzzy hybridization, in: Proc. IEEE International Conference on Fuzzy Systems, 2007, pp. 16.
22. M. Banerjee, and S.K. Pal Roughness of a fuzzy set Information Sciences 93 1996 235 246
23. L.A. Zadeh From computing with numbers to computing with words from manipulation of measurements to manipulation of perceptions IEEE Transactions on Circuits and Systems 46 1999 105 119
24. G.J. Klir, and T. Folger Fuzzy Sets, Uncertainty and Information 1988 Prentice Hall New Jersey
25. D. Sen, and S.K. Pal Generalized rough sets, entropy and image ambiguity measures IEEE Transactions on Systems, Man and Cybernetics - Part B 39 1 2008 117 128
26. L. Farias del Cerro, and H. Prade A. Di Nola, A.G.S. Ventre, Rough sets, two fold fuzzy sets and logic-fuzziness in indiscernibility and partial information 1986 Springer-Verlag Koln 103 120
27. A. Nakamura Fuzzy rough sets Notes on Multiple-Valued Logic in Japan 9 1988 1 8
28. J.S. Mi, Y. Leung, H.Y. Zhao, and T. Feng Generalized fuzzy rough sets determined by a triangular norm Information Sciences 178 16 2008 3203 3213
29. S.K. Pal, and D. Dutta Majumder Fuzzy sets and decision making approaches in vowel and speaker recognition IEEE Transaction on Systems, Man, and Cybernetics 7 1977 625 629
30. D.J. Newman, S. Hettich, C.L. Blake, C.J. Merz, UCI repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science, 1998. http://archive.ics.uci.edu/ml/.
31. S.K. Pal, L. Polkowski, and A. Skowron Rough-neural Computing: Techniques for Computing with Words 2004 Springer-Verlag Germany 698 699
32. Y.Q. Zhang, M.D. Fraser, R. Gagliano, and A. Kandel Granular neural networks for numericallinguistic data fusion and knowledge discovery IEEE Transactions on Neural Networks 11 2000 658 667
33. A. Vasilakos, and D. Stathakis Granular neural networks for land use classification Soft Computing 9 2005 332 340 (Pubitemid 40527471)
34. Y.Q. Zhang, B. Jin, and Y. Tang Granular neural networks with evolutionary interval learning IEEE Transactions on Fuzzy Systems 16 2008 309 319 (Pubitemid 351586033)
35. J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference systems IEEE Transaction on Systems, Man, and Cybernetics 23 1993 665 685
36. S. Dick, and A. Kandel Granular computing in neural networks W. Pedrycz, Granular Computing: An Emerging Paradigm 2001 Physica Verlag New York 275 305
37. M. Szczuka Refining classifiers with neural networks International Journal of Computer and Information Sciences 16 2001 39 56