-
2
-
-
23944495345
-
Simpl_eTS:ASimplified Method for Learning EvolvingTakagi-Sugeno Fuzzy Models
-
Reno, Nevada
-
P. Angelov , D. Filev, "Simpl_eTS:ASimplified Method for Learning EvolvingTakagi-Sugeno Fuzzy Models." Proceedings of FUZZ-IEEE 2005, Reno, Nevada, 2005, pp. 1068-1073.
-
(2005)
Proceedings of FUZZ-IEEE 2005
, pp. 1068-1073
-
-
Angelov, P.1
Filev, D.2
-
3
-
-
40949155135
-
Architectures for Evolving Fuzzy Rule-Based Classifiers
-
Montreal, Canada
-
P. Angelov , X. Zhou, D. Filev, E. Lughofer, "Architectures for Evolving Fuzzy Rule-Based Classifiers." Proceedings of SMC 2007, Montreal, Canada, 2007, pp. 2050-2055.
-
(2007)
Proceedings of SMC 2007
, pp. 2050-2055
-
-
Angelov, P.1
Zhou, X.2
Filev, D.3
Lughofer, E.4
-
4
-
-
34548752445
-
Evolving Fuzzy Rule-Based Classifiers
-
Honolulu, Hawaii
-
P. Angelov , X. Zhou, F. Klawonn, "Evolving Fuzzy Rule-Based Classifiers." 2007 IEEE International Conference on Computational Intelligence Application for Signal and Image Processing, Honolulu, Hawaii, 2007 pp. 220-225.
-
(2007)
2007 IEEE International Conference on Computational Intelligence Application for Signal and Image Processing
, pp. 220-225
-
-
Angelov, P.1
Zhou, X.2
Klawonn, F.3
-
5
-
-
0742272554
-
An Approach to Online Identification of Takagi-Sugeno Fuzzy Models
-
P.P. Angelov , D. Filev, "An Approach to Online Identification of Takagi-Sugeno Fuzzy Models," IEEE Trans. on Systems, Man and Cybernetics, Part B, 34 (1): 484-498, 2004.
-
(2004)
IEEE Trans. on Systems, Man and Cybernetics, Part B
, vol.34
, Issue.1
, pp. 484-498
-
-
Angelov, P.P.1
Filev, D.2
-
6
-
-
36448929160
-
Data-Driven Evolving Fuzzy Systems Using eTS and FLEXFIS: Comparative Analysis
-
P.P. Angelov , E. Lughofer, "Data-Driven Evolving Fuzzy Systems Using eTS and FLEXFIS: Comparative Analysis," International Journal of General Systems, 37 (1): 45-67, 2008.
-
(2008)
International Journal of General Systems
, vol.37
, Issue.1
, pp. 45-67
-
-
Angelov, P.P.1
Lughofer, E.2
-
8
-
-
34250774489
-
An Evolving Fuzzy Model for Embedded Applications
-
Lake District, UK
-
J. C. Barros , A. L. Dexter, "An Evolving Fuzzy Model for Embedded Applications." Second Int. Symposium on Evolving Fuzzy Systems, Lake District, UK, 2006, pp. 36-41.
-
(2006)
Second Int. Symposium on Evolving Fuzzy Systems
, pp. 36-41
-
-
Barros, J.C.1
Dexter, A.L.2
-
9
-
-
33947424437
-
Some Considerations Concerning Regularization and Parameter Choice Algorithms
-
F. Bauer , "Some Considerations Concerning Regularization and Parameter Choice Algorithms," Inverse Problems, 23: 837-858, 2007.
-
(2007)
Inverse Problems
, vol.23
, pp. 837-858
-
-
Bauer, F.1
-
12
-
-
0037597549
-
-
Berlin, Heidelberg: Springer-Verlag
-
J. Casillas , O. Cordon, F. Herrera, L. Magdalena, Interpretability Issues in Fuzzy Modeling. Berlin, Heidelberg: Springer-Verlag, 2003.
-
(2003)
Interpretability Issues in Fuzzy Modeling
-
-
Casillas, J.1
Cordon, O.2
Herrera, F.3
Magdalena, L.4
-
13
-
-
0032334093
-
Minimax Estimation viaWavelet Shrinkage
-
D. Donoho , I. Johnstone, "Minimax Estimation viaWavelet Shrinkage," Annual Statistics, 26: 879-921, 1998.
-
(1998)
Annual Statistics3
, vol.26
, pp. 879-921
-
-
Donoho, D.1
Johnstone, I.2
-
15
-
-
0003097527
-
-
Chichester, West Sussex PO 19 8SQ, England: Wiley-Interscience
-
R. O. Duda , P. E. Hart, D. G. Stork, Pattern Classification, Second Edition. Southern Gate, Chichester, West Sussex PO 19 8SQ, England: Wiley-Interscience, 2000.
-
(2000)
Pattern Classification, Second Edition. Southern Gate
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
17
-
-
34250702688
-
Novelty Detection Based Machine Health Prognostics
-
Lake District, UK
-
D. P. Filev , F. Tseng, "Novelty Detection Based Machine Health Prognostics." Proc. 2006 Int. Symposium on Evolving Fuzzy Systems, Lake District, UK, 2006, pp. 193-199.
-
(2006)
Proc. 2006 Int. Symposium on Evolving Fuzzy Systems
, pp. 193-199
-
-
Filev, D.P.1
Tseng, F.2
-
18
-
-
0021412027
-
Vector Quantization
-
R. M. Gray , "Vector Quantization," IEEE ASSP, pages 4-29, 1984.
-
(1984)
IEEE ASSP
, pp. 4-29
-
-
Gray, R.M.1
-
20
-
-
33645381264
-
AComparison ofVariable Selection Methods with the Main Focus on Orthogonalization
-
(M. Lopéz-Díaz, M. Á . Gil, P. Grzegorzewski, O. Hryniewicz, J. Lawry, ed.) Berlin, Heidelberg, New York: Springer, 2004, pp. 479-486.
-
W. Groißböck , E. Lughofer,E. P. Klement, "AComparison ofVariable Selection Methods with the Main Focus on Orthogonalization." In Soft Methodology and Random Information Systems: Advances in Soft Computing. (M. Lopéz-Díaz, M. Á . Gil, P. Grzegorzewski, O. Hryniewicz, J. Lawry, ed.) Berlin, Heidelberg, New York: Springer, 2004, pp. 479-486.
-
In Soft Methodology and Random Information Systems: Advances in Soft Computing
-
-
Groißböck, W.1
Lughofer, E.2
Klement, E.P.3
-
21
-
-
33645070541
-
Sequential Adaptive Fuzzy Inference System (SAFIS) for Nonlinear System Identification and Prediction
-
N. Sundararajan , H.-J. Rong, G.-B. Huang, P. Saratchandran, "Sequential Adaptive Fuzzy Inference System (SAFIS) for Nonlinear System Identification and Prediction," Fuzzy Sets and Systems, 157 (9): 1260-1275, 2006.
-
(2006)
Fuzzy Sets and Systems
, vol.157
, Issue.9
, pp. 1260-1275
-
-
Sundararajan, N.1
Rong, H.-J.2
Huang, G.-B.3
Saratchandran, P.4
-
22
-
-
0023570429
-
The truncated svd as a Method for Regularization
-
P. C. Hansen , "The truncated svd as a Method for Regularization," BIT, 27: 534-553, 1987.
-
(1987)
BIT
, vol.27
, pp. 534-553
-
-
Hansen, P.C.1
-
24
-
-
0003684449
-
-
New York, Berlin, Heidelberg: Springer-Verlag
-
T. Hastie , R. Tibshirani, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference and Prediction. New York, Berlin, Heidelberg: Springer-Verlag, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
27
-
-
10044221078
-
An Efficient Sequential Learning Algorithm for Growing and Pruning RBF (GAP-RBF) Networks
-
G. B. Huang , P. Saratchandran, N. Sundararajan, "An Efficient Sequential Learning Algorithm for Growing and Pruning RBF (GAP-RBF) Networks," IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 34 (6): 2284-2292, 2004.
-
(2004)
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
, vol.34
, Issue.6
, pp. 2284-2292
-
-
Huang, G.B.1
Saratchandran, P.2
Sundararajan, N.3
-
29
-
-
0032597810
-
Performance Evaluation of Fuzzy Classifier Systems for Multidimensional Pattern Classification Problems
-
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
-
H. Ishibushi , T. Nakashima, T. Murata, "Performance Evaluation of Fuzzy Classifier Systems for Multidimensional Pattern Classification Problems," IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 29 (5): 601-618, 1999.
-
(1999)
, vol.29
, Issue.5
, pp. 601-618
-
-
Ishibushi, H.1
Nakashima, T.2
Murata, T.3
-
30
-
-
33751186914
-
Analysis of Interpretability-Accuracy Tradeoff of Fuzzy Systems by Multiobjective Fuzzy Genetics-Based Machine Learning
-
H. Ishibushi ,Y. Nojima, "Analysis of Interpretability-Accuracy Tradeoff of Fuzzy Systems by Multiobjective Fuzzy Genetics-Based Machine Learning," Int. Journal of Approximate Reasoning, 44 (1): 4-31, 2007.
-
(2007)
Int. Journal of Approximate Reasoning
, vol.44
, Issue.1
, pp. 4-31
-
-
Ishibushi, H.1
Nojima, Y.2
-
31
-
-
0346076776
-
Multiobjective Identification of Takagi-Sugeno Fuzzy Models
-
T. A. Johansen , R. Babuska, "Multiobjective Identification of Takagi-Sugeno Fuzzy Models," IEEE Transactions on Fuzzy Systems, 11 (6): 847-860, 2003.
-
(2003)
IEEE Transactions on Fuzzy Systems
, vol.11
, Issue.63
, pp. 847-860
-
-
Johansen, T.A.1
Babuska, R.2
-
33
-
-
0035670764
-
Evolving Fuzzy Neural Networks for Supervised/Unsupervised Online Knowledge-Based Learning
-
N. K. Kasabov , "Evolving Fuzzy Neural Networks for Supervised/Unsupervised Online Knowledge-Based Learning," IEEE Trans. on Systems, Men and Cybernetics, Part B (Cybernetics), 31 (6): 902-918, 2001.
-
(2001)
IEEE Trans. on Systems, Men and Cybernetics, Part B (Cybernetics)
, vol.31
, Issue.6
, pp. 902-918
-
-
Kasabov, N.K.1
-
34
-
-
0036530967
-
DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Application for Time-Series Prediction
-
N. K. Kasabov , Q. Song, "DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Application for Time-Series Prediction," IEEE Trans. on Fuzzy Systems, 10 (2): 144-154, 2002.
-
(2002)
IEEE Trans. on Fuzzy Systems
, vol.10
, Issue.2
, pp. 144-154
-
-
Kasabov, N.K.1
Song, Q.2
-
35
-
-
0025404409
-
Fuzzy Logic in Control Systems: Fuzzy Logic Controller, Parts I and II
-
C. C. Lee , "Fuzzy Logic in Control Systems: Fuzzy Logic Controller, Parts I and II," IEEE Trans. System, Man, Cybernetics, 20: 404-435, 1990.
-
(1990)
IEEE Trans. System, Man, Cybernetics
, vol.20
, pp. 404-435
-
-
Lee, C.C.1
-
36
-
-
11244351634
-
An Approach for On-line Extraction of Fuzzy Rules Using a Self-Organising Fuzzy Neural Network
-
G. Leng , T. M.. McGinnity, G. Prasad, "An Approach for On-line Extraction of Fuzzy Rules Using a Self-Organising Fuzzy Neural Network," Fuzzy Sets and Systems, 150 (2): 211-243, 2005.
-
(2005)
Fuzzy Sets and Systems
, vol.150
, Issue.2
, pp. 211-243
-
-
Leng, G.1
McGinnity, T.M.2
Prasad, G.3
-
37
-
-
0000012624
-
On a Problem of Adaptive Estimation in Gaussian White Noise
-
O. V. Lepskij , "On a Problem of Adaptive Estimation in Gaussian White Noise," Theory of Probability and its Applications, 35 (3): 454-466, 1990.
-
(1990)
Theory of Probability and its Applications
, vol.35
, Issue.3
, pp. 454-466
-
-
Lepskij, O.V.1
-
38
-
-
34250788116
-
Participatory Evolving Fuzzy Modeling
-
Lake District, UK
-
E. Lima , F. Gomide, R. Ballini, "Participatory Evolving Fuzzy Modeling." Second Int. Symposium on Evolving Fuzzy Systems, Lake District, UK, 2006, pp. 36-41.
-
(2006)
Second Int. Symposium on Evolving Fuzzy Systems
, pp. 36-41
-
-
Lima, E.1
Gomide, F.2
Ballini, R.3
-
40
-
-
35448950018
-
Extensions of Vector Quantization for Incremental Clustering
-
E. Lughofer , "Extensions of Vector Quantization for Incremental Clustering," Pattern Recognition, 41 (3): 995-1011, 2008.
-
(2008)
Pattern Recognition
, vol.41
, Issue.3
, pp. 995-1011
-
-
Lughofer, E.1
-
42
-
-
50249149884
-
Evolving Single-and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
-
London, UK
-
E. Lughofer , P. Angelov, X. Zhou, "Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class." Proceedings of FUZZ-IEEE 2007, London, UK, 2007 pp. 363-368.
-
(2007)
Proceedings of FUZZ-IEEE 2007
, pp. 363-368
-
-
Lughofer, E.1
Angelov, P.2
Zhou, X.3
-
43
-
-
50149110194
-
Applying Evolving Fuzzy Models with Adaptive Local Error Bars to On-line Fault Detection
-
Witten-Bommerholz, Germany
-
E. Lughofer ,C. Guardiola, "Applying Evolving Fuzzy Models with Adaptive Local Error Bars to On-line Fault Detection." Proceedings of Genetic and Evolving Fuzzy Systems 2008, Witten-Bommerholz, Germany, 2008, pp. 35-40.
-
(2008)
Proceedings of Genetic and Evolving Fuzzy Systems 2008
, pp. 35-40
-
-
Lughofer, E.1
Guardiola, C.2
-
45
-
-
84871941909
-
Improving the Interpretability of Data-Driven Evolving Fuzzy Systems
-
Barcelona, Spain
-
E. Lughofer , E. Hüllermeier, E. P. Klement, "Improving the Interpretability of Data-Driven Evolving Fuzzy Systems." Proceedings of EUSFLAT 2005, Barcelona, Spain, 2005, pp. 28-33.
-
(2005)
Proceedings of EUSFLAT 2005
, pp. 28-33
-
-
Lughofer, E.1
Hüllermeier, E.2
Klement, E.P.3
-
47
-
-
0000739264
-
On the Solution of Functional Equations by the Methdod of Regularization
-
V. A. Morozov , "On the Solution of Functional Equations by the Methdod of Regularization," Sov. Math. Dokl, 7: 414-417, 1965.
-
(1965)
Sov. Math. Dokl
, vol.7
, pp. 414-417
-
-
Morozov, V.A.1
-
48
-
-
0001703957
-
A Neuro-Fuzzy Method to Learn Fuzzy Classification Rules from Data
-
D. Nauck , R. Kruse, "A Neuro-Fuzzy Method to Learn Fuzzy Classification Rules from Data," Fuzzy Sets and Systems, 89(3): 277-288, 1997.
-
(1997)
Fuzzy Sets and Systems
, vol.89
, Issue.3
, pp. 277-288
-
-
Nauck, D.1
Kruse, R.2
-
49
-
-
0038197780
-
-
Heidelberg, New York: Physica Verlag, Springer- Verlag
-
A. Piegat , Fuzzy Modeling and Control. Heidelberg, New York: Physica Verlag, Springer- Verlag, 2001.
-
(2001)
Fuzzy Modeling and Control
-
-
Piegat, A.1
-
50
-
-
11244269068
-
Machine Learning from Imbalanced Data Sets
-
Menlo Park, CA
-
F. Provost , "Machine Learning from Imbalanced Data Sets." Proceedings of the AAAI workshop, Menlo Park, CA, 2000, pp. 1-3.
-
(2000)
Proceedings of the AAAI workshop
, pp. 1-3
-
-
Provost, F.1
-
51
-
-
0034301495
-
Recursive PCA for Adaptive Process Monitoring
-
S. J. Qin , W. Li, H. H. Yue, "Recursive PCA for Adaptive Process Monitoring," Journal of Process Control, 10: 471-486, 2000.
-
(2000)
Journal of Process Control
, vol.10
, pp. 471-486
-
-
Qin, S.J.1
Li, W.2
Yue, H.H.3
-
52
-
-
0037361892
-
Learning Fuzzy Classification Rules from Data
-
J. A. Roubos , M. Setnes, J. Abonyi, "Learning Fuzzy Classification Rules from Data," Information Sciences-Informatics and Computer Science: An International Journal, 150: 77-93, 2003.
-
(2003)
Information Sciences-Informatics and Computer Science: An International Journal
, vol.150
, pp. 77-93
-
-
Roubos, J.A.1
Setnes, M.2
Abonyi, J.3
-
53
-
-
0035273106
-
Atomic decomposition by basis pursuit
-
D. Donoho , S. Chen, M. Saunders, "Atomic decomposition by basis pursuit," SIAM Rev., 43 (1): 129-159, 2001.
-
(2001)
SIAM Rev
, vol.43
, Issue.1
, pp. 129-159
-
-
Donoho, D.1
Chen, S.2
Saunders, M.3
-
54
-
-
69649104005
-
An Interactive Self- Adaptive On-line Image Classification Framework
-
of LNCS ( A. Gasteratos, M. Vincze, J. K. Tsotsos, ed.) Santorini Island, Greece: Springer
-
D. Sannen , M. Nuttin, J. E. Smith, M. A. Tahir, E. Lughofer, C. Eitzinger, "An Interactive Self- Adaptive On-line Image Classification Framework." In, Proceedings of ICVS 2008, Vol. 5008 of LNCS ( A. Gasteratos, M. Vincze, J. K. Tsotsos, ed.) Santorini Island, Greece: Springer, 2008 pp. 173-180.
-
(2008)
In, Proceedings of ICVS 2008
, vol.5008
, pp. 173-180
-
-
Sannen, D.1
Nuttin, M.2
Smith, J.E.3
Tahir, M.A.4
Lughofer, E.5
Eitzinger, C.6
-
55
-
-
38449092569
-
StopWasting Time: On Predicting the Success or Failure of Learning for Industrial Applications
-
Birmingham, UK: Springer-Verlag
-
J. E. Smith , M. A. Tahir, "StopWasting Time: On Predicting the Success or Failure of Learning for Industrial Applications." Proccedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'08), Lecture Notes in Computer Science, LNCS 4881. Birmingham, UK: Springer-Verlag, 2007, pp. 673-683.
-
(2007)
Proccedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'08), Lecture Notes in Computer Science, LNCS 4881
, pp. 673-683
-
-
Smith, J.E.1
Tahir, M.A.2
-
56
-
-
0000629975
-
Cross-Validatory Choice and Assessment of Statistical Predictions
-
M. Stone , "Cross-Validatory Choice and Assessment of Statistical Predictions," Journal of the Royal Statistical Society, 36: 111-147, 1974.
-
(1974)
Journal of the Royal Statistical Society
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
58
-
-
0029193556
-
Generation and Improvement of Fuzzy Classifiers with Incremental Learning Using Fuzzy Rulenet
-
Nashville, Tennessee, ACM Press, New York
-
N. Tschichold-Guerman , "Generation and Improvement of Fuzzy Classifiers with Incremental Learning Using Fuzzy Rulenet." Proceedings of the 1995 ACM Symposium on Applied Computing, Nashville, Tennessee, 1995, ACM Press, New York.
-
(1995)
Proceedings of the 1995 ACM Symposium on Applied Computing
-
-
Tschichold-Guerman, N.1
-
59
-
-
26444562687
-
The Problem of Concept Drift: Definitions and Related Work
-
Technical Report TCD-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland
-
A. Tsymbal , "The Problem of Concept Drift: Definitions and Related Work." Technical Report TCD-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland, 2004.
-
(2004)
-
-
Tsymbal, A.1
-
60
-
-
26844505157
-
Fuzzy Incremental Learning of Expert Rules for a Knowledge-Based Anesthesia Monitor
-
Verlag Mainz
-
G. C. van den Eijkel , J.C.A. van der Lubbe, E. Backer, "Fuzzy Incremental Learning of Expert Rules for a Knowledge-Based Anesthesia Monitor." Fourth European Congress on Intelligent Techniques and Soft Computing Proceedings, EUFIT '96, Verlag Mainz, 1996, pp. 2056-2060.
-
(1996)
Fourth European Congress on Intelligent Techniques and Soft Computing Proceedings, EUFIT '96
, pp. 2056-2060
-
-
van den Eijkel, G.C.1
van der Lubbe, J.C.A.2
Backer, E.3
-
61
-
-
0026928374
-
Fuzzy Basis Functions, Universal Approximation and Orthogonal Least-Squares Learning
-
L. X. Wang , J. M. Mendel, "Fuzzy Basis Functions, Universal Approximation and Orthogonal Least-Squares Learning," IEEE Trans. Neural Networks, 3(5): 807-814, 1992.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.5
, pp. 807-814
-
-
Wang, L.X.1
Mendel, J.M.2
-
62
-
-
0030126609
-
Learning in the Presence of Concept Drift and Hidden Contexts
-
G. Widmer , M. Kubat, "Learning in the Presence of Concept Drift and Hidden Contexts," Machine Learning, 23(1): 69-101, 1996.
-
(1996)
Machine Learning
, vol.23
, Issue.1
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
63
-
-
0033692531
-
Dynamic Fuzzy Neural Networks: A Novel Approach to Function Approximation
-
S. Wu , M. J. Er, "Dynamic Fuzzy Neural Networks: A Novel Approach to Function Approximation," IEEE Trans. on Systems, Man and Cybernetics, Part B (Cybernetics), 30: 358-364, 2000.
-
(2000)
IEEE Trans. on Systems, Man and Cybernetics, Part B (Cybernetics)
, vol.30
, pp. 358-364
-
-
Wu, S.1
Er, M.J.2
-
64
-
-
0035415951
-
A Fast Approach for Automatic Generation of Fuzzy Rules by Generalized Dynamic Fuzzy Neural Networks
-
S. Wu , M. J. Er, Y. Gao, "A Fast Approach for Automatic Generation of Fuzzy Rules by Generalized Dynamic Fuzzy Neural Networks," IEEE Trans. on Fuzzy Systems, 9(4): 578-594, 2001.
-
(2001)
IEEE Trans. on Fuzzy Systems
, vol.9
, Issue.4
, pp. 578-594
-
-
Wu, S.1
Er, M.J.2
Gao, Y.3
-
65
-
-
0040527678
-
-
Technical Report MII-1318R, Machine Intelligence Institute, Iona College, New Rochelle, NY 1080
-
R. Yager , D. Filev, "Generation of Fuzzy Rules by Mountain Clustering." Technical Report MII-1318R, Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, 1994.
-
(1994)
Generation of Fuzzy Rules by Mountain Clustering
-
-
Yager, R.1
Filev, D.2
-
67
-
-
0032205732
-
Improving the Interpretability of TSK Fuzzy Models by Combining Global Learning and Local Learning
-
J. Yen , L. Wang, C. W. Gillespie, "Improving the Interpretability of TSK Fuzzy Models by Combining Global Learning and Local Learning," IEEE Trans. on Fuzzy Systems, 6(4): 530-537, 1998.
-
(1998)
IEEE Trans. on Fuzzy Systems
, vol.6
, Issue.4
, pp. 530-537
-
-
Yen, J.1
Wang, L.2
Gillespie, C.W.3
|