-
1
-
-
79960555001
-
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
-
10.1016/j.ins.2011.02.021
-
M.J. Gacto, R. Alcalá, and F. Herrera Interpretability of linguistic fuzzy rule-based systems: an overview of interpretability measures Inform. Sci. 181 2011 4340 4360 10.1016/j.ins.2011.02.021
-
(2011)
Inform. Sci.
, vol.181
, pp. 4340-4360
-
-
Gacto, M.J.1
Alcalá, R.2
Herrera, F.3
-
2
-
-
79955551124
-
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
-
O. Cordón A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: designing interpretable genetic fuzzy systems Internat. J. Approx. Reason. 52 2011 894 913
-
(2011)
Internat. J. Approx. Reason.
, vol.52
, pp. 894-913
-
-
Cordón, O.1
-
3
-
-
37249010146
-
An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data-sets
-
Lecture Notes on Computer Science Springer-Verlag
-
A. Fernández, S. García, M.J. del Jesus, and F. Herrera An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data-sets International Workshop on Fuzzy Logic and Applications (WILF07) Lecture Notes on Computer Science vol. 4578 2007 Springer-Verlag 170 179
-
(2007)
International Workshop on Fuzzy Logic and Applications (WILF07)
, vol.4578
, pp. 170-179
-
-
Fernández, A.1
García, S.2
Del Jesus, M.J.3
Herrera, F.4
-
4
-
-
84870054533
-
A new rule-weight learning method based on gradient descent
-
WCE 2009, July 1-3, 2009, London, U.K
-
S.M. Fakhrahmad, M.J. Zolghadri, A new rule-weight learning method based on gradient descent, in: Proceedings of the World Congress on Engineering 2009, vol. I, WCE 2009, July 1-3, 2009, London, U.K.
-
Proceedings of the World Congress on Engineering 2009
, vol.1
-
-
Fakhrahmad, S.M.1
Zolghadri, M.J.2
-
5
-
-
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. Fuzzy Syst. 13 2005 428 435
-
(2005)
IEEE Trans. Fuzzy Syst.
, vol.13
, pp. 428-435
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
6
-
-
31144468507
-
Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rules mining
-
M. Kaya, and R. Alhajj Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rules mining Appl. Intell. 24 1 2006 7 15
-
(2006)
Appl. Intell.
, vol.24
, Issue.1
, pp. 7-15
-
-
Kaya, M.1
Alhajj, R.2
-
7
-
-
60849089320
-
Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms
-
L. delaOssa, J.A. Gámez, and J.M. Puerta Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms Internat. J. Approx. Reason. 50 3 2009 541 560
-
(2009)
Internat. J. Approx. Reason.
, vol.50
, Issue.3
, pp. 541-560
-
-
Delaossa, L.1
Gámez, J.A.2
Puerta, J.M.3
-
8
-
-
71249092702
-
Generating single granularity-based fuzzy classification rules for multi-objective genetic fuzzy rule selection
-
Jeju (Korea)
-
R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi, Generating single granularity-based fuzzy classification rules for multi-objective genetic fuzzy rule selection, in: Proceedings of the 2009 IEEE International Conference on Fuzzy Systems, Jeju (Korea), 2009 pp. 1718-1723.
-
(2009)
Proceedings of the 2009 IEEE International Conference on Fuzzy Systems
, pp. 1718-1723
-
-
Alcalá, R.1
-
9
-
-
81155154226
-
Multi-objective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions
-
R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi, Multi-objective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions, Soft Comput. vol. 15, 2011, pp. 2303-2318.
-
(2011)
Soft Comput.
, vol.15
, pp. 2303-2318
-
-
Alcalá, R.1
-
10
-
-
0035415952
-
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
-
O. Cordón, F. Herrera, and P. Villar Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base IEEE Trans. Fuzzy Syst. 9 4 2001 667 674
-
(2001)
IEEE Trans. Fuzzy Syst.
, vol.9
, Issue.4
, pp. 667-674
-
-
Cordón, O.1
Herrera, F.2
Villar, P.3
-
11
-
-
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 2004 59 88
-
(2004)
Fuzzy Sets and Systems
, vol.141
, Issue.1
, pp. 59-88
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
12
-
-
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 Inform. Sci. 136 1-4 2001 109 133
-
(2001)
Inform. Sci.
, vol.136
, Issue.14
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
13
-
-
33751186914
-
Analysis of interpretability-accuracy tradeo? of fuzzy systems by multiobjective fuzzy genetics-based machine learning
-
H. Ishibuchi, and Y. Nojima Analysis of interpretability-accuracy tradeo? of fuzzy systems by multiobjective fuzzy genetics-based machine learning Internat. J. Approx. Reason. 44 1 2007 4 31
-
(2007)
Internat. J. Approx. Reason.
, vol.44
, Issue.1
, pp. 4-31
-
-
Ishibuchi, H.1
Nojima, Y.2
-
15
-
-
33846238469
-
A weighting function for improving fuzzy classification systems performance
-
E.G. Mansoori, M.J. Zolghadri, and S.D. Katebi A weighting function for improving fuzzy classification systems performance Fuzzy Sets and Systems 158 2007 583 591
-
(2007)
Fuzzy Sets and Systems
, vol.158
, pp. 583-591
-
-
Mansoori, E.G.1
Zolghadri, M.J.2
Katebi, S.D.3
-
16
-
-
50549085684
-
SGERD: A steady-state genetic algorithm for extracting fuzzy classification rules from data
-
E.G. Mansoori, M.J. Zolghadri, and S.D. Kateb SGERD: a steady-state genetic algorithm for extracting fuzzy classification rules from data IEEE Trans. Fuzzy Syst. 16 4 2008 1061 1071
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, Issue.4
, pp. 1061-1071
-
-
Mansoori, E.G.1
Zolghadri, M.J.2
Kateb, S.D.3
-
17
-
-
33751166396
-
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation
-
R. Alcalá, J. Alcalá-Fdez, F. Herrera, and J. Otero Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation Internat. J. Approx. Reason. 44 2007 45 64
-
(2007)
Internat. J. Approx. Reason.
, vol.44
, pp. 45-64
-
-
Alcalá, R.1
Alcalá-Fdez, J.2
Herrera, F.3
Otero, J.4
-
18
-
-
33845719586
-
Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation
-
R. Alcalá, J. Alcalá-Fdez, M. Gacto, and F. Herrera Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation Soft Comput. 11 5 2007 401 419
-
(2007)
Soft Comput.
, vol.11
, Issue.5
, pp. 401-419
-
-
Alcalá, R.1
Alcalá-Fdez, J.2
Gacto, M.3
Herrera, F.4
-
19
-
-
34548206770
-
A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection
-
R. Alcalá, J. Alcalá-Fdez, and F. Herrera A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection IEEE Trans. Fuzzy Syst. 15 4 2007 616 635
-
(2007)
IEEE Trans. Fuzzy Syst.
, vol.15
, Issue.4
, pp. 616-635
-
-
Alcalá, R.1
Alcalá-Fdez, J.2
Herrera, F.3
-
20
-
-
75149159107
-
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
-
A. Fernández, M.J. del Jesus, and F. Herrera On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets Inform. Sci. 180 8 2010 1268 1291
-
(2010)
Inform. Sci.
, vol.180
, Issue.8
, pp. 1268-1291
-
-
Fernández, A.1
Del Jesus, M.J.2
Herrera, F.3
-
21
-
-
79955558037
-
A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position
-
J. Sanz, A. Fernández, H. Bustince, and F. Herrera A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: degree of ignorance and lateral position Internat. J. Approx. Reason. 52 2011 75 766
-
(2011)
Internat. J. Approx. Reason.
, vol.52
, pp. 75-766
-
-
Sanz, J.1
Fernández, A.2
Bustince, H.3
Herrera, F.4
-
22
-
-
46849096083
-
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
-
A. Fernández, S. García, M.J. del Jesus, and F. Herrera A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets Fuzzy Sets and Systems 159 18 2008 2378 2398
-
(2008)
Fuzzy Sets and Systems
, vol.159
, Issue.18
, pp. 2378-2398
-
-
Fernández, A.1
García, S.2
Del Jesus, M.J.3
Herrera, F.4
-
23
-
-
60849127572
-
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
-
A. Fernández, M.J. del Jesus, and F. Herrera Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets Internat. J. Approx. Reason. 50 3 2009 561 577
-
(2009)
Internat. J. Approx. Reason.
, vol.50
, Issue.3
, pp. 561-577
-
-
Fernández, A.1
Del Jesus, M.J.2
Herrera, F.3
-
24
-
-
35348831258
-
A multiobjective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems
-
R. Alcalá, M.J. Gacto, F. Herrera, and J. Alcalá-Fdez A multiobjective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems Internat. J. Uncertain. Fuzziness Knowledge-Based Systems 15 5 2007 539 557
-
(2007)
Internat. J. Uncertain. Fuzziness Knowledge-Based Systems
, vol.15
, Issue.5
, pp. 539-557
-
-
Alcalá, R.1
Gacto, M.J.2
Herrera, F.3
Alcalá-Fdez, J.4
-
25
-
-
64549120231
-
A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
-
S. García, A. Fernández, J. Luengo, and F. Herrera A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability Soft Comput. 13 10 2009 959 977
-
(2009)
Soft Comput.
, vol.13
, Issue.10
, pp. 959-977
-
-
García, S.1
Fernández, A.2
Luengo, J.3
Herrera, F.4
-
26
-
-
67649126200
-
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework
-
M. Antonelli, P. Ducange, B. Lazzerini, and F. Marcelloni Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework Internat. J. Approx. Reason. 50 7 2009 1066 1080
-
(2009)
Internat. J. Approx. Reason.
, vol.50
, Issue.7
, pp. 1066-1080
-
-
Antonelli, M.1
Ducange, P.2
Lazzerini, B.3
Marcelloni, F.4
-
27
-
-
80052670129
-
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index
-
10.1007/s00500-010-0629-4
-
M. Antonelli, P. Ducange, B. Lazzerini, and F. Marcelloni Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index Soft Comput. 15 2011 1981 1998 10.1007/s00500-010-0629-4
-
(2011)
Soft Comput.
, vol.15
, pp. 1981-1998
-
-
Antonelli, M.1
Ducange, P.2
Lazzerini, B.3
Marcelloni, F.4
-
28
-
-
84886441449
-
Design methodologies of fuzzy set-based fuzzy model based on gas and information granulation
-
S.K. Oh, K.J. Park, W. Pedrycz, Design methodologies of fuzzy set-based fuzzy model based on gas and information granulation, in: Australian Conference on Artificial Intelligence 2006, pp. 100-109.
-
(2006)
Australian Conference on Artificial Intelligence
, pp. 100-109
-
-
Oh, S.K.1
Park, K.J.2
Pedrycz, W.3
-
29
-
-
33947668350
-
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation
-
H.S. Park, W. Pedrycz, and S.K. Oh Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation Expert Syst. Appl. 33 4 2007 830 846
-
(2007)
Expert Syst. Appl.
, vol.33
, Issue.4
, pp. 830-846
-
-
Park, H.S.1
Pedrycz, W.2
Oh, S.K.3
-
31
-
-
0035313865
-
Fuzzy equalization in the construction of fuzzy sets
-
W. Pedrycz Fuzzy equalization in the construction of fuzzy sets Fuzzy Sets and Systems 119 2001 329 335
-
(2001)
Fuzzy Sets and Systems
, vol.119
, pp. 329-335
-
-
Pedrycz, W.1
-
32
-
-
53749090068
-
The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence
-
W. Pedrycz, and F. Yu The design of fuzzy information granules: tradeoffs between specificity and experimental evidence Appl. Soft Comput. 9 1 2009 264 273
-
(2009)
Appl. Soft Comput.
, vol.9
, Issue.1
, pp. 264-273
-
-
Pedrycz, W.1
Yu, F.2
-
34
-
-
45149140007
-
Hedge algebras: An algebraic approach to structures of sets of linguistic domains of linguistic truth variable
-
C.H. Nguyen, and W. Wechler Hedge algebras: an algebraic approach to structures of sets of linguistic domains of linguistic truth variable Fuzzy Sets and Systems 35 3 1990 281 293
-
(1990)
Fuzzy Sets and Systems
, vol.35
, Issue.3
, pp. 281-293
-
-
Nguyen, C.H.1
Wechler, W.2
-
35
-
-
33845700114
-
A topological completion of refined hedge algebras and a model of fuzziness of linguistic terms and hedges
-
C.H. Nguyen A topological completion of refined hedge algebras and a model of fuzziness of linguistic terms and hedges Fuzzy Sets and Systems 158 2007 436 451
-
(2007)
Fuzzy Sets and Systems
, vol.158
, pp. 436-451
-
-
Nguyen, C.H.1
-
36
-
-
33845729401
-
Fuzziness measure on complete hedge algebras and quantifying semantics of terms in linear hedge algebras
-
C.H. Nguyen, and V.-L. Nguyen Fuzziness measure on complete hedge algebras and quantifying semantics of terms in linear hedge algebras Fuzzy Sets and Systems 158 2007 452 471
-
(2007)
Fuzzy Sets and Systems
, vol.158
, pp. 452-471
-
-
Nguyen, C.H.1
Nguyen, V.-L.2
-
37
-
-
34748863393
-
Linguistic- valued logic and their application to fuzzy reasoning
-
C.H. Nguyen, V.N. Huynh, D.K. Tran, H.C. Le, and Hedge Algebras Linguistic- valued logic and their application to fuzzy reasoning Internat. J. Uncertain. Fuzziness Knowledge-Based Systems 7 4 1999 347 361
-
(1999)
Internat. J. Uncertain. Fuzziness Knowledge-Based Systems
, vol.7
, Issue.4
, pp. 347-361
-
-
Nguyen, C.H.1
Huynh, V.N.2
Tran, D.K.3
Le, H.C.4
Algebras, H.5
-
38
-
-
58049215502
-
Parallel distributed genetic fuzzy rule selection
-
Y. Nojima, H. Ishibuchi, and I. Kuwajima Parallel distributed genetic fuzzy rule selection Soft Comput. (A Fusion of Foundations, Methodology and Applications) 13 5 2009 511 519
-
(2009)
Soft Comput. (A Fusion of Foundations, Methodology and Applications)
, vol.13
, Issue.5
, pp. 511-519
-
-
Nojima, Y.1
Ishibuchi, H.2
Kuwajima, I.3
-
39
-
-
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. Fuzzy Syst. 9 4 2001 506 515
-
(2001)
IEEE Trans. Fuzzy Syst.
, vol.9
, Issue.4
, pp. 506-515
-
-
Ishibuchi, H.1
Nakashima, T.2
-
41
-
-
38049000432
-
Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews
-
Springer-Verlag Berlin Heidelberg
-
A. Abraham, and C. Grosan Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews Studies in Computational Intelligence (SCI) vol. 82 2008 Springer-Verlag Berlin Heidelberg 1 22
-
(2008)
Studies in Computational Intelligence (SCI)
, vol.82
, pp. 1-22
-
-
Abraham, A.1
Grosan, C.2
-
42
-
-
0012586289
-
A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems
-
O. Cordón, F. Moya, and C. Zarco A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems Soft Comput. 6 2002 308 319
-
(2002)
Soft Comput.
, vol.6
, pp. 308-319
-
-
Cordón, O.1
Moya, F.2
Zarco, C.3
|