-
1
-
-
50149096917
-
Genetic Fuzzy Systems: Taxonomy, current research trends and prospects
-
F. Herrera. "Genetic Fuzzy Systems: Taxonomy, current research trends and prospects", Evolutionary Intelligence, vol. 1, 2008, pp. 27-46.
-
(2008)
Evolutionary Intelligence
, vol.1
, pp. 27-46
-
-
Herrera, F.1
-
4
-
-
50249084601
-
Multiobjective Genetic Fuzzy Systems: Review and future research directions
-
London
-
H. Ishibuchi, "Multiobjective Genetic Fuzzy Systems: review and future research directions", in Proc of Fuzz-IEEE'07 Int Conf on Fuzzy Syst, London,2007, pp. 1-6.
-
(2007)
Proc of Fuzz-IEEE'07 Int Conf on Fuzzy Syst
, pp. 1-6
-
-
Ishibuchi, H.1
-
5
-
-
34249908139
-
A pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems
-
M. Cococcioni, P. Ducange, B. Lazzerini, and F. Marcelloni, "A pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems", Soft Comput, vol.11, 2007, pp. 1013-1031.
-
(2007)
Soft Comput
, vol.11
, pp. 1013-1031
-
-
Cococcioni, M.1
Ducange, P.2
Lazzerini, B.3
Marcelloni, F.4
-
6
-
-
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 Syst, Vol. 141, 2004, pp. 59-88.
-
(2004)
Fuzzy Sets and Syst
, vol.141
, pp. 59-88
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
7
-
-
23944463720
-
Modification of evolutionary Multiobjective optimization algorithms for Multiobjective design of fuzzy rule-based classification systems
-
Reno
-
K. Narukawata, Y. Nojima, and H. Ishibuchi. "Modification of evolutionary Multiobjective optimization algorithms for Multiobjective design of fuzzy rule-based classification systems", in Proc of Fuzz-IEEE'05 Int Conf on Fuzzy Syst, Reno, 2005, pp. 809-814.
-
(2005)
Proc of Fuzz-IEEE'05 Int Conf on Fuzzy Syst
, pp. 809-814
-
-
Narukawata, K.1
Nojima, Y.2
Ishibuchi, H.3
-
8
-
-
42649122303
-
Fuzzy Classifier Identification Using Decision Tree and Multi-Objective Evolutinary Algorithms
-
P. Pulkkinen, H. Koivisto. "Fuzzy Classifier Identification Using Decision Tree and Multi-Objective Evolutinary Algorithms", Int J Approx Reason, vol. 48, 2008, pp 526-543.
-
(2008)
Int J Approx Reason
, vol.48
, pp. 526-543
-
-
Pulkkinen, P.1
Koivisto, H.2
-
9
-
-
58049200709
-
Adaptation and application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems
-
M.J. Gacto, R. Alcalá, and F. Herrera. "Adaptation and application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems". Soft Computing, vol. 13, no. 5, 2009, pp. 419-436.
-
(2009)
Soft Computing
, vol.13
, Issue.5
, pp. 419-436
-
-
Gacto, M.J.1
Alcalá, R.2
Herrera, F.3
-
10
-
-
67649126200
-
Learning Concurrently partition granularities and rule bases of Mamdani Fuzzy Systems in A Multi-Objective Evolutionary Framework
-
M. Antonelli, P. Duccange, F. Marcelloni and B. Lazzerini. "Learning Concurrently partition granularities and rule bases of Mamdani Fuzzy Systems in A Multi-Objective Evolutionary Framework", Int J Approx Reason, vol. 50 no. 7, 2009, pp 419-436.
-
(2009)
Int J Approx Reason
, vol.50
, Issue.7
, pp. 419-436
-
-
Antonelli, M.1
Duccange, P.2
Marcelloni, F.3
Lazzerini, B.4
-
11
-
-
70350057609
-
A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems
-
DOI: 10.1109, TFUZZ, 2023113
-
R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, F. Marcelloni. "A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems". IEEE Trans Fuzzy Syst, DOI: 10.1109 / TFUZZ. 2009. 2023113.
-
(2009)
IEEE Trans Fuzzy Syst
-
-
Alcalá, R.1
Ducange, P.2
Herrera, F.3
Lazzerini, B.4
Marcelloni, F.5
-
12
-
-
70350524955
-
Cooperation between the Inference System and the Rule Base by using Multiobjective Genetic Algorithms
-
Burgos
-
A.A. Márquez, F.A. Márquez, and A. Peregrín. "Cooperation between the Inference System and the Rule Base by using Multiobjective Genetic Algorithms", in Proc of HAIS'08 Int Conf of Hybrid Artificial Intelligence Syst, Burgos, 2008, pp. 739-746.
-
(2008)
Proc of HAIS'08 Int Conf of Hybrid Artificial Intelligence Syst
, pp. 739-746
-
-
Márquez, A.A.1
Márquez, F.A.2
Peregrín, A.3
-
13
-
-
14644430392
-
Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modelling
-
J. Casillas, O. Cordón, M.J. Del Jesus, and F. Herrera, "Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modelling", IEEE Trans Fuzzy Syst, vol. 13, no. 1, 2005, pp. 13-29.
-
(2005)
IEEE Trans Fuzzy Syst
, vol.13
, Issue.1
, pp. 13-29
-
-
Casillas, J.1
Cordón, O.2
Del Jesus, M.J.3
Herrera, F.4
-
14
-
-
0003052380
-
Genetic algorithms for fuzzy controllers
-
C. Karr, "Genetic algorithms for fuzzy controllers", AI Expert vol. 6, no. 2, 1991, pp. 26-33.
-
(1991)
AI Expert
, vol.6
, Issue.2
, pp. 26-33
-
-
Karr, C.1
-
15
-
-
33645692386
-
A fuzzy approach to partitioning continuous attributes for classification
-
W. H. Au, K. C. C. Chan, and A. K. C. Wong, "A fuzzy approach to partitioning continuous attributes for classification", IEEE Trans Knowl Data Eng, vol. 18, no. 5, 2006, pp. 715-719.
-
(2006)
IEEE Trans Knowl Data Eng
, vol.18
, Issue.5
, pp. 715-719
-
-
Au, W.H.1
Chan, K.C.C.2
Wong, A.K.C.3
-
16
-
-
0034321206
-
Analysis and guidelines to obtain a good fuzzy partition granularity for fuzzy rule-based systems using simulated annealing
-
O. Cordón, F. Herrera, and P. Villar, "Analysis and guidelines to obtain a good fuzzy partition granularity for fuzzy rule-based systems using simulated annealing", Int J Approx Reason, vol. 25, no. 3, 2000, pp. 187-215.
-
(2000)
Int J Approx Reason
, vol.25
, Issue.3
, pp. 187-215
-
-
Cordón, O.1
Herrera, F.2
Villar, P.3
-
17
-
-
0036683734
-
COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
-
J. Casillas, O. Cordón, and F. Herrera. "COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules", IEEE Trans Syst, Man, Cybern. Part B: Cybern, vol. 32, no. 4, 2002, pp. 526-537.
-
(2002)
IEEE Trans Syst, Man, Cybern. Part B: Cybern
, vol.32
, Issue.4
, pp. 526-537
-
-
Casillas, J.1
Cordón, O.2
Herrera, F.3
-
18
-
-
0026943536
-
Generating fuzzy rules by learning from examples
-
L.X. Wang, and J.M. Mendel. "Generating fuzzy rules by learning from examples", IEEE Trans Syst, Man, Cybernetics, vol. 22, no. 6, 1992, pp. 1414-1427.
-
(1992)
IEEE Trans Syst, Man, Cybernetics
, vol.22
, Issue.6
, pp. 1414-1427
-
-
Wang, L.X.1
Mendel, J.M.2
-
19
-
-
34548285425
-
Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing
-
M.J. Del Jesus, P. González, F. Herrera, and M. Mesonero, "Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing", IEEE Trans Fuzzy Syst, vol. 15, no. 4, 2007, pp.578-592.
-
(2007)
IEEE Trans Fuzzy Syst
, vol.15
, Issue.4
, pp. 578-592
-
-
Del Jesus, M.J.1
González, P.2
Herrera, F.3
Mesonero, M.4
-
20
-
-
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 Comput, vol. 10, no. 7, 2006, pp. 578-586.
-
(2006)
Soft Comput
, vol.10
, Issue.7
, pp. 578-586
-
-
Kaya, M.1
-
22
-
-
34548390540
-
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems
-
J. Alcalá-Fdez, F. Herrera, F. Márquez, and A. Peregrín, "Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems", Int J Intell Syst, vol. 22 no. 9, 2007, pp. 1035-1064.
-
(2007)
Int J Intell Syst
, vol.22
, Issue.9
, pp. 1035-1064
-
-
Alcalá-Fdez, J.1
Herrera, F.2
Márquez, F.3
Peregrín, A.4
-
23
-
-
50349087527
-
On the optimization of T-norm parameters within fuzzy decision trees
-
London
-
K. A. Crockett, Z. Bandar, and D. Mclean, "On the optimization of T-norm parameters within fuzzy decision trees", in Proc of Fuzz-IEEE'07 Int Conf on Fuzzy Syst, London, 2007, pp. 103-108.
-
(2007)
Proc of Fuzz-IEEE'07 Int Conf on Fuzzy Syst
, pp. 103-108
-
-
Crockett, K.A.1
Bandar, Z.2
Mclean, D.3
-
24
-
-
0036721723
-
An accurate COG defuzzifier design using Lamarckian co-adaptation of learning and evolution
-
D. Kim, Y. Choi, and S. Lee, "An accurate COG defuzzifier design using Lamarckian co-adaptation of learning and evolution", Fuzzy Sets and Syst, vol. 130, no. 2, 2002, pp. 207-225.
-
(2002)
Fuzzy Sets and Syst
, vol.130
, Issue.2
, pp. 207-225
-
-
Kim, D.1
Choi, Y.2
Lee, S.3
-
25
-
-
0007911636
-
Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
-
A. Homaifar, and E. Mccormick, "Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms". IEEE Trans Fuzzy Syst, vol. 3, no. 2, 1995, pp. 129-139.
-
(1995)
IEEE Trans Fuzzy Syst
, vol.3
, Issue.2
, pp. 129-139
-
-
Homaifar, A.1
Mccormick, E.2
-
26
-
-
37249020074
-
Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy systems
-
F. A. Márquez, A. Peregrín, and F. Herrera, "Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy systems", IEEE Trans Fuzzy Syst, vol. 15, no. 6, 2007, pp. 1168-1178.
-
(2007)
IEEE Trans Fuzzy Syst
, vol.15
, Issue.6
, pp. 1168-1178
-
-
Márquez, F.A.1
Peregrín, A.2
Herrera, F.3
-
27
-
-
71249132530
-
Parallel Evolutionary Multi-Objective Methodology for Granularity and Rule Base Learning in Linguistic Fuzzy Systems
-
Korea
-
J.M. Bardallo, M.A. De Vega, F.A. Márquez, A.Peregrín. "Parallel Evolutionary Multi-Objective Methodology for Granularity and Rule Base Learning in Linguistic Fuzzy Systems" in Proc of Fuzz-IEEE'09 Int Conf on Fuzzy Syst, Korea, 2009, pp. 1700-1705.
-
(2009)
Proc of Fuzz-IEEE'09 Int Conf on Fuzzy Syst
, pp. 1700-1705
-
-
Bardallo, J.M.1
De Vega, M.A.2
Márquez, F.A.3
Peregrín, A.4
-
28
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGAII
-
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. "A fast and elitist multiobjective genetic algorithm: NSGAII". IEEE Trans Evolut Comput, vol. 6, no 2, 2002, pp. 182-197.
-
(2002)
IEEE Trans Evolut Comput
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
-
30
-
-
0001334115
-
The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination
-
Morgan Kaufman
-
L. J. Eshelman, "The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination", in Foundations of genetic Algorithms 1, Rawlin G (Ed.) Morgan Kaufman, 1991, pp. 265-283.
-
(1991)
Foundations of genetic Algorithms 1, Rawlin G (Ed.)
, pp. 265-283
-
-
Eshelman, L.J.1
-
31
-
-
0033746963
-
Efficient parallel genetic algorithms: Theory and practice
-
E. Cantú-Paz, D.E. Goldberg, "Efficient parallel genetic algorithms: theory and practice" Comput. Methods Appl. Mech. Engrg. 186, 2000, pp. 221-238.
-
(2000)
Comput. Methods Appl. Mech. Engrg
, vol.186
, pp. 221-238
-
-
Cantú-Paz, E.1
Goldberg, D.E.2
-
32
-
-
0032674647
-
Solving electrical distribution problems using hybrid evolutionary data analysis techniques
-
O. Cordón, F. Herrera, and L. Sánchez., "Solving electrical distribution problems using hybrid evolutionary data analysis techniques", Appl Intell, vol. 10, 1999, pp. 5-24.
-
(1999)
Appl Intell
, vol.10
, pp. 5-24
-
-
Cordón, O.1
Herrera, F.2
Sánchez, L.3
-
33
-
-
71249101592
-
-
http://www.wunderground.com/global/stations/17128
-
M. Erdem Kurul and E. Tuzun. Avaible:www.wunderground.com; http://www.wunderground.com/global/stations/17128.
-
Avaible
-
-
Erdem Kurul, M.1
Tuzun, E.2
-
34
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demšar, Statistical comparisons of classifiers over multiple data sets, J Mach Learn Res, vol. 7, 2006, pp. 1-30.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
|