-
1
-
-
34548206770
-
A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection
-
Alcalá R., Alcalá-Fdez J., Herrera F. A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection. IEEE Trans. Fuzzy Sys. 2007, 15(4):616-635.
-
(2007)
IEEE Trans. Fuzzy Sys.
, vol.15
, Issue.4
, pp. 616-635
-
-
Alcalá, R.1
Alcalá-Fdez, J.2
Herrera, F.3
-
2
-
-
59649112625
-
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms
-
Alcalá-Fdez J., Alcalá R., Gacto M.J., Herrera F. Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst. 2009, 160:905-921.
-
(2009)
Fuzzy Sets Syst.
, vol.160
, pp. 905-921
-
-
Alcalá-Fdez, J.1
Alcalá, R.2
Gacto, M.J.3
Herrera, F.4
-
3
-
-
70350057609
-
A multi-objective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems
-
Alcalá R., Ducange P., Herrera F., Lazzerini B., Marcelloni F. A multi-objective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems. IEEE Trans. Fuzzy Syst. 2009, 17(5):1106-1122.
-
(2009)
IEEE Trans. Fuzzy Syst.
, vol.17
, Issue.5
, pp. 1106-1122
-
-
Alcalá, R.1
Ducange, P.2
Herrera, F.3
Lazzerini, B.4
Marcelloni, F.5
-
4
-
-
33751166396
-
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation
-
Alcalá R., Alcalá-Fdez J., Herrera F., Otero J. Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. Int. J. Approx. Reasoning 2007, 44:45-64.
-
(2007)
Int. J. Approx. Reasoning
, vol.44
, pp. 45-64
-
-
Alcalá, R.1
Alcalá-Fdez, J.2
Herrera, F.3
Otero, J.4
-
5
-
-
78649486389
-
Rule extraction from support vector machines: a review
-
Barakat N., Bradley A.P. Rule extraction from support vector machines: a review. Neurocomputing 2010, 74:178-190.
-
(2010)
Neurocomputing
, vol.74
, pp. 178-190
-
-
Barakat, N.1
Bradley, A.P.2
-
6
-
-
75149139352
-
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems
-
Berlanga F.J., Rivera A.J., Del Jesus M.J., Herrera F. GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 2010, 180:1183-1200.
-
(2010)
Inf. Sci.
, vol.180
, pp. 1183-1200
-
-
Berlanga, F.J.1
Rivera, A.J.2
Del Jesus, M.J.3
Herrera, F.4
-
7
-
-
33751332990
-
Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: an ecological case study
-
Broekhoven E.V., Adriaenssens V., Baets B.D. Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: an ecological case study. Int. J. Approx. Reasoning 2007, 44:65-90.
-
(2007)
Int. J. Approx. Reasoning
, vol.44
, pp. 65-90
-
-
Broekhoven, E.V.1
Adriaenssens, V.2
Baets, B.D.3
-
8
-
-
0035426683
-
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
-
Casillas J., Cordón O., Del Jesus M.J., Herrera F. Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. Inf. Sci. 2001, 136:135-157.
-
(2001)
Inf. Sci.
, vol.136
, pp. 135-157
-
-
Casillas, J.1
Cordón, O.2
Del Jesus, M.J.3
Herrera, F.4
-
9
-
-
69449096226
-
A hybrid stock trading system for intelligent technical analysis-based equivolume charting
-
Chavarnakul T., Enke D. A hybrid stock trading system for intelligent technical analysis-based equivolume charting. Neurocomputing 2009, 72:3517-3528.
-
(2009)
Neurocomputing
, vol.72
, pp. 3517-3528
-
-
Chavarnakul, T.1
Enke, D.2
-
10
-
-
44949088574
-
A new approach to generate weighted fuzzy rules using genetic algorithms for estimating null values
-
Chen S., Huang C. A new approach to generate weighted fuzzy rules using genetic algorithms for estimating null values. Expert Syst. Appl. 2008, 35:905-917.
-
(2008)
Expert Syst. Appl.
, vol.35
, pp. 905-917
-
-
Chen, S.1
Huang, C.2
-
11
-
-
0035415952
-
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
-
Cordón O., Herrera F., Villar P. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Trans. Fuzzy Syst. 2001, 9(4):667-674.
-
(2001)
IEEE Trans. Fuzzy Syst.
, vol.9
, Issue.4
, pp. 667-674
-
-
Cordón, O.1
Herrera, F.2
Villar, P.3
-
12
-
-
72049084727
-
Modeling wine preferences by data mining from physicochemical properties
-
Cortez P., Cerdeira A., Almeida F., Matos T., Reis J. Modeling wine preferences by data mining from physicochemical properties. Decis. Support Syst. 2009, 47(4):547-553.
-
(2009)
Decis. Support Syst.
, vol.47
, Issue.4
, pp. 547-553
-
-
Cortez, P.1
Cerdeira, A.2
Almeida, F.3
Matos, T.4
Reis, J.5
-
13
-
-
59649091136
-
Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization
-
Evsukoff A.G., Galichet S., deLima B.S.L.P., Ebecken N.F.F. Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization. Fuzzy Sets Syst. 2009, 160:857-881.
-
(2009)
Fuzzy Sets Syst.
, vol.160
, pp. 857-881
-
-
Evsukoff, A.G.1
Galichet, S.2
deLima, B.S.L.P.3
Ebecken, N.F.F.4
-
14
-
-
60849127572
-
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
-
Fernández A., José del Jesus M., Herrera F. Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets. Int. J. Approx. Reasoning 2009, 50:561-577.
-
(2009)
Int. J. Approx. Reasoning
, vol.50
, pp. 561-577
-
-
Fernández, A.1
José del Jesus, M.2
Herrera, F.3
-
15
-
-
77957869952
-
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations
-
Fernández A., Calderón M., Barrenechea E., Bustince H., Herrera F. Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations. Fuzzy Sets Syst. 2010, 161:3064-3080.
-
(2010)
Fuzzy Sets Syst.
, vol.161
, pp. 3064-3080
-
-
Fernández, A.1
Calderón, M.2
Barrenechea, E.3
Bustince, H.4
Herrera, F.5
-
16
-
-
56349121199
-
Extracting fuzzy rules based on fusion of soft computing in oil exploration management
-
Guo H., Zhu K., Gao S., Li Y., Zhou J. Extracting fuzzy rules based on fusion of soft computing in oil exploration management. Expert Syst. Appl. 2009, 36:2081-2087.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 2081-2087
-
-
Guo, H.1
Zhu, K.2
Gao, S.3
Li, Y.4
Zhou, J.5
-
17
-
-
42249089539
-
Genetic-Fuzzy data mining with divide-and-conquer strategy
-
Hong T., Chen C., Lee Y., Wu Y. Genetic-Fuzzy data mining with divide-and-conquer strategy. IEEE Trans. Evol. Comput. 2008, 12(2):252-265.
-
(2008)
IEEE Trans. Evol. Comput.
, vol.12
, Issue.2
, pp. 252-265
-
-
Hong, T.1
Chen, C.2
Lee, Y.3
Wu, Y.4
-
18
-
-
0035426682
-
Three-objective genetics-based machine learning for linguistic rule extraction
-
Ishibuchi H., Nakashima T., Murata T. Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 2001, 136:109-133.
-
(2001)
Inf. Sci.
, vol.136
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
19
-
-
35648959662
-
A fuzzified neural fuzzy inference network for handling both linguistic and numerical information simultaneously
-
Juang C., Lee C. A fuzzified neural fuzzy inference network for handling both linguistic and numerical information simultaneously. Neurocomputing 2007, 71:342-352.
-
(2007)
Neurocomputing
, vol.71
, pp. 342-352
-
-
Juang, C.1
Lee, C.2
-
20
-
-
67349270912
-
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
-
Kaburlasos V.G., Papadakis S.E. A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). Neurocomputing 2009, 72:2067-2078.
-
(2009)
Neurocomputing
, vol.72
, pp. 2067-2078
-
-
Kaburlasos, V.G.1
Papadakis, S.E.2
-
21
-
-
0034937189
-
Linguistic summaries of data using fuzzy logic
-
Kacprzyk J., Yager R.R. Linguistic summaries of data using fuzzy logic. Int. J. Gen. Syst. 2001, 30:133-154.
-
(2001)
Int. J. Gen. Syst.
, vol.30
, pp. 133-154
-
-
Kacprzyk, J.1
Yager, R.R.2
-
22
-
-
77951136116
-
Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries, and natural-language generation
-
Kacprzyk J., Zadrożny S. Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries, and natural-language generation. IEEE Trans. Fuzzy Syst. 2010, 18(3):461-472.
-
(2010)
IEEE Trans. Fuzzy Syst.
, vol.18
, Issue.3
, pp. 461-472
-
-
Kacprzyk, J.1
Zadrozny, S.2
-
23
-
-
12144269984
-
Fuzzy logic and evolutionary algorithmtwo techniques in rule extraction from neural networks
-
Kaczmara U.M., Trelak W. Fuzzy logic and evolutionary algorithmtwo techniques in rule extraction from neural networks. Neurocomputing 2005, 63:359-379.
-
(2005)
Neurocomputing
, vol.63
, pp. 359-379
-
-
Kaczmara, U.M.1
Trelak, W.2
-
24
-
-
56449129469
-
Continuous genetic algorithm-based fuzzy neural network for learning fuzzy IF-THEN rules
-
Kuo R.J., Hong S.M., Lin Y., Huang Y.C. Continuous genetic algorithm-based fuzzy neural network for learning fuzzy IF-THEN rules. Neurocomputing 2008, 71:2893-2907.
-
(2008)
Neurocomputing
, vol.71
, pp. 2893-2907
-
-
Kuo, R.J.1
Hong, S.M.2
Lin, Y.3
Huang, Y.C.4
-
25
-
-
0035248717
-
Design of adaptive fuzzy logic controller based on linguistic-hedge concepts and genetic algorithms
-
Liu B., Chen C., Tsao J. Design of adaptive fuzzy logic controller based on linguistic-hedge concepts and genetic algorithms. IEEE Trans. Syst. Man Cybern. 2001, 31(1):32-53.
-
(2001)
IEEE Trans. Syst. Man Cybern.
, vol.31
, Issue.1
, pp. 32-53
-
-
Liu, B.1
Chen, C.2
Tsao, J.3
-
26
-
-
79960619498
-
-
Fuzzy transforms method in prediction data analysis, Fuzzy Sets and Systems
-
F.D. Martino, V. Loia, S. Sessa, Fuzzy transforms method in prediction data analysis, Fuzzy Sets and Systems, http://10.1016/j.fss.2010.11.009.
-
-
-
Martino, F.D.1
Loia, V.2
Sessa, S.3
-
27
-
-
40549144067
-
A type-2 fuzzy approach to linguistic summarization of data
-
Niewiadomski A. A type-2 fuzzy approach to linguistic summarization of data. IEEE Trans. Fuzzy Syst. 2008, 16(1):198-212.
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, Issue.1
, pp. 198-212
-
-
Niewiadomski, A.1
-
28
-
-
77953096394
-
On finity, countability, cardinalities, and cylindric extensions of type-2 fuzzy sets in linguistic summarization of databases
-
Niewiadomski A. On finity, countability, cardinalities, and cylindric extensions of type-2 fuzzy sets in linguistic summarization of databases. IEEE Trans. Fuzzy Syst. 2010, 18(3):532-545.
-
(2010)
IEEE Trans. Fuzzy Syst.
, vol.18
, Issue.3
, pp. 532-545
-
-
Niewiadomski, A.1
-
29
-
-
40649103160
-
A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing
-
Niu B., Zhua Y., He X., Shen H. A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing. Neurocomputing 2008, 71:1436-1448.
-
(2008)
Neurocomputing
, vol.71
, pp. 1436-1448
-
-
Niu, B.1
Zhua, Y.2
He, X.3
Shen, H.4
-
30
-
-
67349279548
-
Extracting a complex linguistic data summaries from personnel database via linguistic aggregation of simple ones
-
Pei Z., Xu Y., Ruan D., Qin K. Extracting a complex linguistic data summaries from personnel database via linguistic aggregation of simple ones. Inf. Sci. 2009, 179:2325-2332.
-
(2009)
Inf. Sci.
, vol.179
, pp. 2325-2332
-
-
Pei, Z.1
Xu, Y.2
Ruan, D.3
Qin, K.4
-
31
-
-
25144521696
-
-
Obtaining a Complex Linguistic Data Summaries from Database based on a New Linguistic Aggregation Operator, Lecture Notes in Computer Science, (IWANN 2005), Springer-Verlag, Berlin Heidelberg
-
Z. Pei, Y. Du, L. Yi, Y. Xu, Obtaining a Complex Linguistic Data Summaries from Database based on a New Linguistic Aggregation Operator, Lecture Notes in Computer Science, vol. 3512 (IWANN 2005), Springer-Verlag, Berlin Heidelberg, 2005, pp. 771-778.
-
(2005)
, vol.3512
, pp. 771-778
-
-
ei, Z.1
Du, Y.2
Yi, L.3
Xu, Y.4
-
32
-
-
33646068060
-
Interpreting and extracting fuzzy decision rules from fuzzy information systems and their inference
-
Pei Z., Resconi G., Van Der Wal A.J., Qin K., Xu Y. Interpreting and extracting fuzzy decision rules from fuzzy information systems and their inference. Inf. Sci. 2006, 176:1869-1897.
-
(2006)
Inf. Sci.
, vol.176
, pp. 1869-1897
-
-
Pei, Z.1
Resconi, G.2
Van Der Wal, A.J.3
Qin, K.4
Xu, Y.5
-
33
-
-
34247479083
-
Gathering linguistic information in distributed intelligent agent on the internet
-
Pei Z., Ruan D., Xu Y., Liu J. Gathering linguistic information in distributed intelligent agent on the internet. Int. J. Intell. Syst. 2007, 22:435-453.
-
(2007)
Int. J. Intell. Syst.
, vol.22
, pp. 435-453
-
-
Pei, Z.1
Ruan, D.2
Xu, Y.3
Liu, J.4
-
34
-
-
77950173075
-
-
Atlantis Press & World Scientific
-
Pei Z., Ruan D., Liu J., Xu Y. Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Application, Atlantis Computational Intelligence Systems 2009, vol. 1. Atlantis Press & World Scientific.
-
(2009)
Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Application, Atlantis Computational Intelligence Systems
, vol.1
-
-
Pei, Z.1
Ruan, D.2
Liu, J.3
Xu, Y.4
-
35
-
-
79956103606
-
Extracting association rules based on intuitionistic fuzzy sets
-
Pei Z., Liu X., Zou L. Extracting association rules based on intuitionistic fuzzy sets. Int. J. Inno. Comput. Inf. Control 2010, 6(6):2567-2580.
-
(2010)
Int. J. Inno. Comput. Inf. Control
, vol.6
, Issue.6
, pp. 2567-2580
-
-
Pei, Z.1
Liu, X.2
Zou, L.3
-
36
-
-
67349173600
-
Non-uniformat tractor embedding for time series forecasting by fuzzy inference systems
-
Ragulskis M., Lukoseviciute K. Non-uniformat tractor embedding for time series forecasting by fuzzy inference systems. Neurocomputing 2009, 72:2618-2626.
-
(2009)
Neurocomputing
, vol.72
, pp. 2618-2626
-
-
Ragulskis, M.1
Lukoseviciute, K.2
-
37
-
-
0037118739
-
SAINTETIQ: a fuzzy set-based approach to database summarization
-
Raschia G., Mouaddib N. SAINTETIQ: a fuzzy set-based approach to database summarization. Fuzzy Sets Syst. 2002, 129:137-162.
-
(2002)
Fuzzy Sets Syst.
, vol.129
, pp. 137-162
-
-
Raschia, G.1
Mouaddib, N.2
-
38
-
-
2442597364
-
Discovering interesting knowledge from a science and technology database with a genetic algorithm
-
Romao W., Freitas A.A., Gimenes I.M.S. Discovering interesting knowledge from a science and technology database with a genetic algorithm. Appl. Soft Comput. 2004, 4:121-137.
-
(2004)
Appl. Soft Comput.
, vol.4
, pp. 121-137
-
-
Romao, W.1
Freitas, A.A.2
Gimenes, I.M.S.3
-
39
-
-
58049213924
-
Genetic learning of fuzzy rules based on low quality data
-
Sanchez L., Couso I., Casillas J. Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets Syst. 2009, 160:2524-2552.
-
(2009)
Fuzzy Sets Syst.
, vol.160
, pp. 2524-2552
-
-
Sanchez, L.1
Couso, I.2
Casillas, J.3
-
40
-
-
79952754794
-
A fuzzy neural network with fuzzy impact grades
-
Song H., Miao C., Shen Z., Miao Y., Lee B. A fuzzy neural network with fuzzy impact grades. Neurocomputing 2009, 72:3098-3122.
-
(2009)
Neurocomputing
, vol.72
, pp. 3098-3122
-
-
Song, H.1
Miao, C.2
Shen, Z.3
Miao, Y.4
Lee, B.5
-
41
-
-
79751535747
-
A probabilistic fuzzy approach to modeling nonlinear systems
-
Song H., Miao C., Shen Z., Roel W., D'Hondt M., Francky C. A probabilistic fuzzy approach to modeling nonlinear systems. Neurocomputing 2009, 74:1008-1025.
-
(2009)
Neurocomputing
, vol.74
, pp. 1008-1025
-
-
Song, H.1
Miao, C.2
Shen, Z.3
Roel, W.4
D'Hondt, M.5
Francky, C.6
-
42
-
-
0031276208
-
Fuzzy connectives based crossover operators to model genetic algorithms population diversity
-
Herrera F., Lozano M., Verdegay J.L. Fuzzy connectives based crossover operators to model genetic algorithms population diversity. Fuzzy Sets Syst. 1997, 92:21-30.
-
(1997)
Fuzzy Sets Syst.
, vol.92
, pp. 21-30
-
-
Herrera, F.1
Lozano, M.2
Verdegay, J.L.3
-
43
-
-
34249696113
-
Training T-S norm neural networks to refine weights for fuzzy if-then rules
-
Wang X., Dong C., Fan T. Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 2007, 70:2581-2587.
-
(2007)
Neurocomputing
, vol.70
, pp. 2581-2587
-
-
Wang, X.1
Dong, C.2
Fan, T.3
-
44
-
-
0020190406
-
A new approach to the summarization of data
-
Yager R.R. A new approach to the summarization of data. Inf. Sci. 1982, 28:69-86.
-
(1982)
Inf. Sci.
, vol.28
, pp. 69-86
-
-
Yager, R.R.1
-
45
-
-
34248666540
-
Fuzzy sets
-
Zadeh L.A. Fuzzy sets. Inf. Control 1965, 8:338-353.
-
(1965)
Inf. Control
, vol.8
, pp. 338-353
-
-
Zadeh, L.A.1
-
46
-
-
0015558134
-
Outline of a new approach to the analysis of complex systems and decision processes
-
Zadeh L.A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst. Man Cybern. 1973, 3:28-44.
-
(1973)
IEEE Trans. Syst. Man Cybern.
, vol.3
, pp. 28-44
-
-
Zadeh, L.A.1
-
47
-
-
0016458950
-
The concept of linguistic variable and its application to approximate reasoning. Part 1, 2, 3
-
301-357, 43-80
-
Zadeh L.A. The concept of linguistic variable and its application to approximate reasoning. Part 1, 2, 3. Inf. Sci. 1975, 8(9):199-249. 301-357, 43-80.
-
(1975)
Inf. Sci.
, vol.8
, Issue.9
, pp. 199-249
-
-
Zadeh, L.A.1
-
48
-
-
0030142764
-
Fuzzy logic = computing with words
-
Zadeh L.A. Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 1996, 4(2):103-111.
-
(1996)
IEEE Trans. Fuzzy Syst.
, vol.4
, Issue.2
, pp. 103-111
-
-
Zadeh, L.A.1
-
49
-
-
0032786058
-
From computing with numbers to computing with words-from manipulation of measurements to manipulation of perceptions
-
Zadeh L.A. From computing with numbers to computing with words-from manipulation of measurements to manipulation of perceptions. IEEE Trans. Circ. Syst. 1999, 45:105-119.
-
(1999)
IEEE Trans. Circ. Syst.
, vol.45
, pp. 105-119
-
-
Zadeh, L.A.1
|