-
1
-
-
0026923902
-
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
-
S. Horikawa, T. Furuhashi, and Y. Uchikawa, "On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm," IEEE Trans. on Neural Networks 3 (5) 801-806, 1992.
-
(1992)
IEEE Trans. on Neural Networks
, vol.3
, Issue.5
, pp. 801-806
-
-
Horikawa, S.1
Furuhashi, T.2
Uchikawa, Y.3
-
2
-
-
0027601884
-
ANFIS: Adaptive-network-based fuzzy inference system
-
J. -S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. on Systems, Man, and Cybernetics 23 (3) 665-685, 1993.
-
(1993)
IEEE Trans. on Systems, Man, and Cybernetics
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang, J.-S.R.1
-
3
-
-
0027539712
-
Fuzzy control of pH using genetic algorithms
-
C. L. Karr and E. J. Gentry, "Fuzzy control of pH using genetic algorithms," IEEE Trans. on Fuzzy Systems 1 (1) 46-53, 1993.
-
(1993)
IEEE Trans. on Fuzzy Systems
, vol.1
, Issue.1
, pp. 46-53
-
-
Karr, C.L.1
Gentry, E.J.2
-
6
-
-
0003927095
-
-
World Scientific
-
O. Cordon, F. Herrera, F. Hoffman, and L. Magdalena, Genetic Fuzzy Systems, World Scientific, 2001.
-
(2001)
Genetic Fuzzy Systems
-
-
Cordon, O.1
Herrera, F.2
Hoffman, F.3
Magdalena, L.4
-
7
-
-
0346781553
-
Ten years of genetic fuzzy systems: Current framework and new trends
-
O. Cordon, F. Gomide, F. Herrera, F. Hoffmann, and L. Magdalena, "Ten years of genetic fuzzy systems: Current framework and new trends," Fuzzy Sets and Systems 141 (1)5-31, 2004.
-
(2004)
Fuzzy Sets and Systems
, vol.141
, Issue.1
, pp. 5-31
-
-
Cordon, O.1
Gomide, F.2
Herrera, F.3
Hoffmann, F.4
Magdalena, L.5
-
9
-
-
0003722376
-
-
Addison-Wesley, MA
-
D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, MA, 1989.
-
(1989)
Genetic Algorithms in Search, Optimization, and Machine Learning
-
-
Goldberg, D.E.1
-
11
-
-
0026989504
-
Fuzzy systems as universal approximators
-
B. Kosko, "Fuzzy systems as universal approximators," Proc. of FUZZ-IEEE 1992, 1153-1162.
-
(1992)
Proc. of FUZZ-IEEE
, pp. 1153-1162
-
-
Kosko, B.1
-
12
-
-
0026928374
-
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
-
L. X. Wang and J. M. Mendel, "Fuzzy basis functions, universal approximation, and orthogonal least-squares learning," IEEE Trans. on Neural Networks 3 (5) 807-814, 1992.
-
(1992)
IEEE Trans. on Neural Networks
, vol.3
, Issue.5
, pp. 807-814
-
-
Wang, L.X.1
Mendel, J.M.2
-
13
-
-
0029270928
-
Fuzzy-logic systems for engineering - A tutorial
-
J. M. Mendel, "Fuzzy-logic systems for engineering - A tutorial," Proceedings of IEEE 83 (3) 345-377, 1995.
-
(1995)
Proceedings of IEEE
, vol.83
, Issue.3
, pp. 345-377
-
-
Mendel, J.M.1
-
14
-
-
0024866495
-
On the approximate realization of continuous-mappings by neural networks
-
K. Funahashi, "On the approximate realization of continuous-mappings by neural networks," Neural Networks 2 (3) 183-192, 1989.
-
(1989)
Neural Networks
, vol.2
, Issue.3
, pp. 183-192
-
-
Funahashi, K.1
-
15
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks 2 (5) 359-366, 1989.
-
(1989)
Neural Networks
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
16
-
-
0025751820
-
Approximation capabilities of multilayer feedforward networks
-
K. Hornik, "Approximation capabilities of multilayer feedforward networks," Neural Networks 4 (2) 251-257, 1991.
-
(1991)
Neural Networks
, vol.4
, Issue.2
, pp. 251-257
-
-
Hornik, K.1
-
18
-
-
0003890671
-
-
John Wiley & Sons, New York
-
V. Cherkassky and F. Mulier, Learning from Data: Concepts, Theory, and Methods, John Wiley & Sons, New York, 1998.
-
(1998)
Learning from Data: Concepts, Theory, and Methods
-
-
Cherkassky, V.1
Mulier, F.2
-
19
-
-
0029359001
-
Selecting fuzzy if-then rules for classification problems using genetic algorithms
-
H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Selecting fuzzy if-then rules for classification problems using genetic algorithms," IEEE Trans. on Fuzzy Systems 3 (3) 260-270, 1995.
-
(1995)
IEEE Trans. on Fuzzy Systems
, vol.3
, Issue.3
, pp. 260-270
-
-
Ishibuchi, H.1
Nozaki, K.2
Yamamoto, N.3
Tanaka, H.4
-
20
-
-
0031999289
-
Rule-based modeling: Precision and transparency
-
M. Setnes, R. Babuska, and B. Verbruggen, "Rule-based modeling: Precision and transparency," IEEE Trans. on Systems, Man, and Cybernetics - Part C 28 (1) 165-169, 1998.
-
(1998)
IEEE Trans. on Systems, Man, and Cybernetics - Part C
, vol.28
, Issue.1
, pp. 165-169
-
-
Setnes, M.1
Babuska, R.2
Verbruggen, B.3
-
21
-
-
0032205732
-
Improving the interpretability of TSK fuzzy models by combining global learning and local learning
-
J. Yen, L. Wang, and G. 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, G.W.3
-
22
-
-
0033279878
-
3 fuzzy rule systems from data using evolution strategies
-
3 fuzzy rule systems from data using evolution strategies," IEEE Trans. on Systems, Man, and Cybernetics - Part B 29 (6) 829-845, 1999.
-
(1999)
IEEE Trans. on Systems, Man, and Cybernetics - Part B
, vol.29
, Issue.6
, pp. 829-845
-
-
Jin, Y.1
von Seelen, W.2
Sendhoff, B.3
-
23
-
-
0032960792
-
Obtaining interpretable fuzzy classification rules from medical data
-
D. Nauck and R. Kruse, "Obtaining interpretable fuzzy classification rules from medical data," Artificial Intelligence in Medicine 16(2) 149-169, 1999.
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, Issue.2
, pp. 149-169
-
-
Nauck, D.1
Kruse, R.2
-
24
-
-
0033704546
-
Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement
-
Y. Jin, "Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement," IEEE Trans. on Fuzzy Systems 8 (2) 212-221, 2000.
-
(2000)
IEEE Trans. on Fuzzy Systems
, vol.8
, Issue.2
, pp. 212-221
-
-
Jin, Y.1
-
25
-
-
0034294243
-
GA-based modeling and classification: Complexity and performance
-
M. Setnes and H. Roubos, "GA-based modeling and classification: Complexity and performance," IEEE Trans. on Fuzzy Systems 8 (5) 509-522, 2000.
-
(2000)
IEEE Trans. on Fuzzy Systems
, vol.8
, Issue.5
, pp. 509-522
-
-
Setnes, M.1
Roubos, H.2
-
26
-
-
0035897955
-
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
-
L. Castillo, A. Gonzalez, and R. Perez, "Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm," Fuzzy Sets and Systems 120 (2) 309-321, 2001.
-
(2001)
Fuzzy Sets and Systems
, vol.120
, Issue.2
, pp. 309-321
-
-
Castillo, L.1
Gonzalez, A.2
Perez, R.3
-
27
-
-
0035415950
-
Compact and transparent fuzzy models and classifiers through iterative complexity reduction
-
H. Roubos and M. Setnes, "Compact and transparent fuzzy models and classifiers through iterative complexity reduction," IEEE Trans. on Fuzzy Systems 9 (4) 516-524, 2001.
-
(2001)
IEEE Trans. on Fuzzy Systems
, vol.9
, Issue.4
, pp. 516-524
-
-
Roubos, H.1
Setnes, M.2
-
28
-
-
0036435523
-
Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization
-
J. Abonyi, J. A. Roubos, and F. Szeifert, "Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization," International Journal of Approximate Reasoning 32 (1) 1-21, 2003.
-
(2003)
International Journal of Approximate Reasoning
, vol.32
, Issue.1
, pp. 1-21
-
-
Abonyi, J.1
Roubos, J.A.2
Szeifert, F.3
-
29
-
-
0037310742
-
Linguistic modeling with hierarchical systems of weighted linguistic rules
-
R. Alcala, J. R. Cano, O. Cordon, F. Herrera, P. Villar, and I. Zwir, "Linguistic modeling with hierarchical systems of weighted linguistic rules," International Journal of Approximate Reasoning 32 (2-3) 187-215, 2003.
-
(2003)
International Journal of Approximate Reasoning
, vol.32
, Issue.2-3
, pp. 187-215
-
-
Alcala, R.1
Cano, J.R.2
Cordon, O.3
Herrera, F.4
Villar, P.5
Zwir, I.6
-
30
-
-
0037230859
-
Finding fuzzy classification rules using data mining techniques
-
Y. C. Hu, R. S. Chen, and G. H. Tzeng, "Finding fuzzy classification rules using data mining techniques," Pattern Recognition Letters 24 (1-3) 509-519, 2003.
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.1-3
, pp. 509-519
-
-
Hu, Y.C.1
Chen, R.S.2
Tzeng, G.H.3
-
31
-
-
14644430392
-
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
-
J. Casillas, O. Cordon, M. J. del Jesus, and F. Herrera, "Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction," IEEE Trans. on Fuzzy Systems 13(1) 13-29, 2005.
-
(2005)
IEEE Trans. on Fuzzy Systems
, vol.13
, Issue.1
, pp. 13-29
-
-
Casillas, J.1
Cordon, O.2
del Jesus, M.J.3
Herrera, F.4
-
33
-
-
0042782983
-
Bounding the effect of noise in multiobjective learning classifier systems
-
X. Llora and D. E. Goldberg, "Bounding the effect of noise in multiobjective learning classifier systems," Evolutionary Computation 11 (3) 278-297, 2003.
-
(2003)
Evolutionary Computation
, vol.11
, Issue.3
, pp. 278-297
-
-
Llora, X.1
Goldberg, D.E.2
-
34
-
-
0000919523
-
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
-
H. Ishibuchi, T. Murata, and I. B. Turksen, "Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems," Fuzzy Sets and Systems 89 (2) 135-150, 1997.
-
(1997)
Fuzzy Sets and Systems
, vol.89
, Issue.2
, pp. 135-150
-
-
Ishibuchi, H.1
Murata, T.2
Turksen, I.B.3
-
35
-
-
0035426682
-
Three-objective genetics-based machine learning for linguistic rule extraction
-
H. Ishibuchi, T. Nakashima, and T. Murata, "Three-objective genetics-based machine learning for linguistic rule extraction," Information Sciences 136 (1-4) 109-133, 2001.
-
(2001)
Information Sciences
, vol.136
, Issue.1-4
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
36
-
-
84931451187
-
Accurate, transparent and compact fuzzy models for function approximation and dynamic modeling through multi-objective evolutionary optimization
-
F. Jimenez, A. F. Gomez-Skarmeta, G. Sanchez, H. Roubos, and R. Babuska, "Accurate, transparent and compact fuzzy models for function approximation and dynamic modeling through multi-objective evolutionary optimization," Proc. of EMO 2001, 653-667.
-
Proc. of EMO 2001
, pp. 653-667
-
-
Jimenez, F.1
Gomez-Skarmeta, A.F.2
Sanchez, G.3
Roubos, H.4
Babuska, R.5
-
37
-
-
0346781550
-
Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
-
H. Ishibuchi and T. Yamamoto, "Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining," Fuzzy Sets and Systems 141 (1) 59-88, 2004.
-
(2004)
Fuzzy Sets and Systems
, vol.141
, Issue.1
, pp. 59-88
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
38
-
-
18544378721
-
Agent-based evolutionary approach for interpretable rule-based knowledge extraction
-
H. Wang, S. Kwong, Y. Jin, W. Wei, and K. F. Man, "Agent-based evolutionary approach for interpretable rule-based knowledge extraction," IEEE Trans. on Systems, Man, and Cybernetics - Part C 35 (2) 143-155, 2005.
-
(2005)
IEEE Trans. on Systems, Man, and Cybernetics - Part C
, vol.35
, Issue.2
, pp. 143-155
-
-
Wang, H.1
Kwong, S.2
Jin, Y.3
Wei, W.4
Man, K.F.5
-
39
-
-
9644257194
-
Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction
-
H. Wang, S. Kwong, Y. Jin, W. Wei, and K. F. Man, "Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction," Fuzzy Sets and Systems 149 (1) 149-186, 2005.
-
(2005)
Fuzzy Sets and Systems
, vol.149
, Issue.1
, pp. 149-186
-
-
Wang, H.1
Kwong, S.2
Jin, Y.3
Wei, W.4
Man, K.F.5
-
40
-
-
33751186914
-
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
-
H. Ishibuchi and Y. Nojima, "Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning," International Journal of Approximate Reasoning 44 (1) 4-31, 2007.
-
(2007)
International Journal of Approximate Reasoning
, vol.44
, Issue.1
, pp. 4-31
-
-
Ishibuchi, H.1
Nojima, Y.2
-
41
-
-
0037597549
-
-
J. Casillas, O. Cordon, F. Herrera, and L. Magdalena eds, Springer
-
J. Casillas, O. Cordon, F. Herrera, and L. Magdalena (eds.), Interpretability Issues in Fuzzy Modeling, Springer, 2003.
-
(2003)
Interpretability Issues in Fuzzy Modeling
-
-
-
42
-
-
3543069982
-
-
J. Casillas, O. Cordon, F. Herrera, and L. Magdalena eds, Springer
-
J. Casillas, O. Cordon, F. Herrera, and L. Magdalena (eds.), Accuracy Improvements in Linguistic Fuzzy Modeling, Springer, 2003.
-
(2003)
Accuracy Improvements in Linguistic Fuzzy Modeling
-
-
-
43
-
-
0000599395
-
Multiple objective optimization with vector evaluated genetic algorithms
-
J. D. Schaffer, "Multiple objective optimization with vector evaluated genetic algorithms," Proc. of ICGA 1985, 93-100.
-
Proc. of ICGA 1985
, pp. 93-100
-
-
Schaffer, J.D.1
-
46
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGA-II
-
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. on Evolutionary Computation 6 (2) 182-197, 2002.
-
(2002)
IEEE Trans. on Evolutionary Computation
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
-
47
-
-
0002197262
-
Distributed representation of fuzzy rules and its application to pattern classification
-
H. Ishibuchi, K. Nozaki, and H. Tanaka, "Distributed representation of fuzzy rules and its application to pattern classification," Fuzzy Sets and Systems 52 (1) 21-32, 1992.
-
(1992)
Fuzzy Sets and Systems
, vol.52
, Issue.1
, pp. 21-32
-
-
Ishibuchi, H.1
Nozaki, K.2
Tanaka, H.3
-
48
-
-
0035415473
-
Effect of rule weights in fuzzy rule-based classification systems
-
H. Ishibuchi and T. Nakashima, "Effect of rule weights in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems 9 (4) 506-515, 2001.
-
(2001)
IEEE Trans. on Fuzzy Systems
, vol.9
, Issue.4
, pp. 506-515
-
-
Ishibuchi, H.1
Nakashima, T.2
-
49
-
-
26844469668
-
Rule weight specification in fuzzy rule-based classification systems
-
H. Ishibuchi and T. Yamamoto, "Rule weight specification in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems 13(4)428-435, 2005.
-
(2005)
IEEE Trans. on Fuzzy Systems
, vol.13
, Issue.4
, pp. 428-435
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
50
-
-
0032655554
-
A proposal on reasoning methods in fuzzy rule-based classification systems
-
O. Cordon, M. J. del Jesus, and F. Herrera, "A proposal on reasoning methods in fuzzy rule-based classification systems," International Journal of Approximate Reasoning 20 (1) 21-45, 1999.
-
(1999)
International Journal of Approximate Reasoning
, vol.20
, Issue.1
, pp. 21-45
-
-
Cordon, O.1
del Jesus, M.J.2
Herrera, F.3
-
51
-
-
0000719509
-
Voting in fuzzy rule-based systems for pattern classification problems
-
H. Ishibuchi, T. Nakashima, and T. Morisawa, "Voting in fuzzy rule-based systems for pattern classification problems," Fuzzy Sets and Systems 103 (2) 223-238, 1999.
-
(1999)
Fuzzy Sets and Systems
, vol.103
, Issue.2
, pp. 223-238
-
-
Ishibuchi, H.1
Nakashima, T.2
Morisawa, T.3
-
54
-
-
0001639606
-
Trade-off between computation time and number of rules for fuzzy mining from quantitative data
-
T. P. Hong, C. S. Kuo, and S. C. Chi, "Trade-off between computation time and number of rules for fuzzy mining from quantitative data," International Journal of Uncertainty Fuzziness and Knowledge-based Systems 9 (5) 587-604, 2001.
-
(2001)
International Journal of Uncertainty Fuzziness and Knowledge-based Systems
, vol.9
, Issue.5
, pp. 587-604
-
-
Hong, T.P.1
Kuo, C.S.2
Chi, S.C.3
-
56
-
-
0001371923
-
Fast discovery of association rules
-
U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy eds, AAAI Press, Menlo Park
-
R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo, "Fast discovery of association rules," in U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press, Menlo Park, 307-328, 1996.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 307-328
-
-
Agrawal, R.1
Mannila, H.2
Srikant, R.3
Toivonen, H.4
Verkamo, A.I.5
-
57
-
-
84948104699
-
Integrating classification and association rule mining
-
B. Liu, W. Hsu, and Y. Ma, "Integrating classification and association rule mining," Proc. of KDD 1998, 80-86.
-
Proc. of KDD 1998
, pp. 80-86
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
58
-
-
3543091439
-
Comparison of heuristic criteria for fuzzy rule selection in classification problems
-
H. Ishibuchi and T. Yamamoto, "Comparison of heuristic criteria for fuzzy rule selection in classification problems," Fuzzy Optimization and Decision Making 3 (2) 119-139, 2004.
-
(2004)
Fuzzy Optimization and Decision Making
, vol.3
, Issue.2
, pp. 119-139
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
59
-
-
26944467164
-
Threshold tuning for improved classification association rule mining
-
F. Coenen, P. Leng, and L. Zhang, "Threshold tuning for improved classification association rule mining," Proc. of PAKDD 2005, 216-225.
-
Proc. of PAKDD 2005
, pp. 216-225
-
-
Coenen, F.1
Leng, P.2
Zhang, L.3
-
60
-
-
34548554245
-
Obtaining best parameter values for accurate classification
-
F. Coenen and P. Leng, "Obtaining best parameter values for accurate classification," Proc. of ICDM 2005, 549-552.
-
Proc. of ICDM 2005
, pp. 549-552
-
-
Coenen, F.1
Leng, P.2
-
61
-
-
84901471327
-
Data mining rules using multi-objective evolutionary algorithms
-
B. de la Iglesia, M. S. Philpott, A. J. Bagnall, and V. J. Rayward-Smith, "Data mining rules using multi-objective evolutionary algorithms," Proc. of CEC 2003, 1552-1559.
-
Proc. of CEC 2003
, pp. 1552-1559
-
-
de la Iglesia, B.1
Philpott, M.S.2
Bagnall, A.J.3
Rayward-Smith, V.J.4
-
62
-
-
24344474261
-
Developments on a multi-objective metaheuristic (MOMH) algorithm for finding interesting sets of classification rules
-
B. de la Iglesia, A. Reynolds, and V. J. Rayward-Smith, "Developments on a multi-objective metaheuristic (MOMH) algorithm for finding interesting sets of classification rules," Proc. of EMO 2005, 826-840.
-
Proc. of EMO 2005
, pp. 826-840
-
-
de la Iglesia, B.1
Reynolds, A.2
Rayward-Smith, V.J.3
-
63
-
-
34548765852
-
Rule induction using multi-objective metaheuristics: Encouraging rule diversity
-
A. Reynolds and B. de la Iglesia, "Rule induction using multi-objective metaheuristics: Encouraging rule diversity," Proc. of IJCNN 2006, 6375-6382.
-
Proc. of IJCNN 2006
, pp. 6375-6382
-
-
Reynolds, A.1
de la Iglesia, B.2
-
64
-
-
34548799281
-
Relation between Pareto-optimal fuzzy rules and Pareto-optimal fuzzy rule set
-
in press
-
H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Relation between Pareto-optimal fuzzy rules and Pareto-optimal fuzzy rule set," Proc. of IEEE MCDM 2007 (in press).
-
(2007)
Proc. of IEEE MCDM
-
-
Ishibuchi, H.1
Kuwajima, I.2
Nojima, Y.3
-
65
-
-
3543062929
-
Effect of fuzzy discretization in fuzzy rule-based systems for classification problems with continuous attributes
-
H. Ishibuchi and T. Yamamoto, "Effect of fuzzy discretization in fuzzy rule-based systems for classification problems with continuous attributes," Archives of Control Sciences 12 (4) 351-378, 2002.
-
(2002)
Archives of Control Sciences
, vol.12
, Issue.4
, pp. 351-378
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
66
-
-
0030214780
-
Adaptive fuzzy rule-based classification systems
-
K. Nozaki, H. Ishibuchi, and H. Tanaka, "Adaptive fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems 4 (3) 238-250, 1996.
-
(1996)
IEEE Trans. on Fuzzy Systems
, vol.4
, Issue.3
, pp. 238-250
-
-
Nozaki, K.1
Ishibuchi, H.2
Tanaka, H.3
-
67
-
-
0035360372
-
Designing fuzzy inference systems from data: An interpretability-oriented review
-
S. Guillaume, "Designing fuzzy inference systems from data: An interpretability-oriented review," IEEE Trans. on Fuzzy Systems 9 (3) 426-443, 2001.
-
(2001)
IEEE Trans. on Fuzzy Systems
, vol.9
, Issue.3
, pp. 426-443
-
-
Guillaume, S.1
-
68
-
-
11244318202
-
Interpretability issues in data-based learning of fuzzy systems
-
R. Mikut, J. Jakel, and L. Groll, "Interpretability issues in data-based learning of fuzzy systems," Fuzzy Sets and Systems 150 (2) 179-197, 2005.
-
(2005)
Fuzzy Sets and Systems
, vol.150
, Issue.2
, pp. 179-197
-
-
Mikut, R.1
Jakel, J.2
Groll, L.3
-
69
-
-
35048865418
-
Evolutionary multiobjective clustering
-
J. Handl and J. Knowles, "Evolutionary multiobjective clustering," Proc. of PPSN 2004, 1081-1091.
-
Proc. of PPSN 2004
, pp. 1081-1091
-
-
Handl, J.1
Knowles, J.2
-
70
-
-
2442699339
-
Multi-objective rule mining using genetic algorithms
-
A. Ghosh and B. T. Nath, "Multi-objective rule mining using genetic algorithms," Information Sciences 163 (1-3) 123-133, 2004.
-
(2004)
Information Sciences
, vol.163
, Issue.1-3
, pp. 123-133
-
-
Ghosh, A.1
Nath, B.T.2
-
71
-
-
33244458239
-
Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
-
M. Kaya, "Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules," Soft Computing 10 (7) 578-586, 2006.
-
(2006)
Soft Computing
, vol.10
, Issue.7
, pp. 578-586
-
-
Kaya, M.1
-
73
-
-
17444379003
-
Stratification for scaling up evolutionary prototype selection
-
J. R. Cano, F. Herrera, and M. Lozano, "Stratification for scaling up evolutionary prototype selection," Pattern Recognition Letters 26 (7) 953-963, 2005.
-
(2005)
Pattern Recognition Letters
, vol.26
, Issue.7
, pp. 953-963
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
76
-
-
0036671292
-
On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - A comparative experiment
-
A. Jaszkiewicz, "On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - A comparative experiment," IEEE Trans. on Evolutionary Computation 6 (4) 402-412, 2002.
-
(2002)
IEEE Trans. on Evolutionary Computation
, vol.6
, Issue.4
, pp. 402-412
-
-
Jaszkiewicz, A.1
-
77
-
-
2642512286
-
On the computational efficiency of multiple objective metaheuristics: The knapsack problem case study
-
A. Jaszkiewicz, "On the computational efficiency of multiple objective metaheuristics: The knapsack problem case study," European Journal of Operational Research 158 (2) 418-433, 2004.
-
(2004)
European Journal of Operational Research
, vol.158
, Issue.2
, pp. 418-433
-
-
Jaszkiewicz, A.1
-
78
-
-
33750253048
-
Reference point based multi-objective optimization using evolutionary algorithms
-
K. Deb and J. Sundar, "Reference point based multi-objective optimization using evolutionary algorithms," Proc. of GECCO 2006, 635-642.
-
Proc. of GECCO 2006
, pp. 635-642
-
-
Deb, K.1
Sundar, J.2
-
79
-
-
34548815331
-
Optimization of scalarizing functions through evolutionary multiobjective optimization
-
in press
-
H. Ishibuchi and Y. Nojima, "Optimization of scalarizing functions through evolutionary multiobjective optimization," Proc. of EMO 2007 (in press).
-
Proc. of EMO 2007
-
-
Ishibuchi, H.1
Nojima, Y.2
|