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Volumn 12, Issue 11, 2012, Pages 3390-3400

Linguistic fuzzy model identification based on PSO with different length of particles

Author keywords

Fuzzy rule base; Nonlinear system; Particle swarm optimization; Self generation

Indexed keywords

ACTIVE RULES; BEST POSITION; CURRENT GENERATION; FUZZY RULE BASE; LINGUISTIC FUZZY MODELS; MUTATION OPERATORS; NONLINEAR FUNCTIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; SELF-GENERATION; SIMULATION EXPERIMENTS;

EID: 84865852072     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.07.014     Document Type: Article
Times cited : (17)

References (60)
  • 3
    • 34848825652 scopus 로고    scopus 로고
    • Fuzzy logic control of a nonlinear structural system against earthquake induced vibration
    • G. Rahmi, and Y. Hakan Fuzzy logic control of a nonlinear structural system against earthquake induced vibration Journal of Vibration and Control 13 11 2007 1535 1551
    • (2007) Journal of Vibration and Control , vol.13 , Issue.11 , pp. 1535-1551
    • Rahmi, G.1    Hakan, Y.2
  • 4
    • 0030231275 scopus 로고    scopus 로고
    • Fuzzy logic classification in image processing
    • F. Reiner, G.A. William, and J. Uwe Fuzzy logic classification in image processing Fuzzy Sets and Systems 82 3 1996 265 278
    • (1996) Fuzzy Sets and Systems , vol.82 , Issue.3 , pp. 265-278
    • Reiner, F.1    William, G.A.2    Uwe, J.3
  • 5
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • M. Sugeno, and T. Yasukawa A fuzzy-logic-based approach to qualitative modeling IEEE Transactions on Fuzzy Systems 1 1 1993 7 31
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , Issue.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 6
    • 77957869952 scopus 로고    scopus 로고
    • Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations
    • A. Fernández, M. Calderón, E. Barrenechea, H. Bustinceb, and F. Herrera Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations Fuzzy Sets and Systems 161 23 2010 3064 3080
    • (2010) Fuzzy Sets and Systems , vol.161 , Issue.23 , pp. 3064-3080
    • Fernández, A.1    Calderón, M.2    Barrenechea, E.3    Bustinceb, H.4    Herrera, F.5
  • 7
    • 59649091136 scopus 로고    scopus 로고
    • Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization
    • A.G. Evsukoff, S. Galiche, B.S.L.P. Delima, and N.F.F. Ebecken Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization Fuzzy Sets and Systems 160 7 2009 857 881
    • (2009) Fuzzy Sets and Systems , vol.160 , Issue.7 , pp. 857-881
    • Evsukoff, A.G.1    Galiche, S.2    Delima, B.S.L.P.3    Ebecken, N.F.F.4
  • 8
    • 0742320762 scopus 로고    scopus 로고
    • Rule-base self-generation and simplification for data-driven fuzzy models
    • M.Y. Chen, and D.A. Linkens Rule-base self-generation and simplification for data-driven fuzzy models Fuzzy Sets and Systems 142 2 2004 243 265
    • (2004) Fuzzy Sets and Systems , vol.142 , Issue.2 , pp. 243-265
    • Chen, M.Y.1    Linkens, D.A.2
  • 9
    • 0346076782 scopus 로고    scopus 로고
    • Support vector learning for fuzzy rule-based classification systems
    • Y.X. Chen, and Z.W. James Support vector learning for fuzzy rule-based classification systems IEEE Transactions on Fuzzy Systems 11 6 2003 716 728
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , Issue.6 , pp. 716-728
    • Chen, Y.X.1    James, Z.W.2
  • 11
    • 0007911636 scopus 로고
    • 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 Transactions on Fuzzy Systems 3 2 1995 129 139
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.2 , pp. 129-139
    • Homaifar, A.1    McCormick, E.2
  • 12
  • 13
    • 31344465909 scopus 로고    scopus 로고
    • Fuzzy rules acquisition using interactive genetic algorithms
    • T. Onisawa, and Y. Fujihara Fuzzy rules acquisition using interactive genetic algorithms Proceedings of the 41st SICE Annual Conference, vol. 5(5-7) 2002 2887 2892
    • (2002) Proceedings of the 41st SICE Annual Conference , vol.5 , Issue.5-7 , pp. 2887-2892
    • Onisawa, T.1    Fujihara, Y.2
  • 14
    • 0032627483 scopus 로고    scopus 로고
    • Automatic design of fuzzy rule base for modeling and control using evolutionary programming
    • H.S. Hwang Automatic design of fuzzy rule base for modeling and control using evolutionary programming IEE Proceedings Control Theory and Application 144 1 1999 9 16
    • (1999) IEE Proceedings Control Theory and Application , vol.144 , Issue.1 , pp. 9-16
    • Hwang, H.S.1
  • 15
    • 70350605478 scopus 로고    scopus 로고
    • Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system
    • B. Rezaee, and M.H. Fazel Zarandi Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system Information Sciences 180 2 2010 241 255
    • (2010) Information Sciences , vol.180 , Issue.2 , pp. 241-255
    • Rezaee, B.1    Fazel Zarandi, M.H.2
  • 16
    • 70350057609 scopus 로고    scopus 로고
    • A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems
    • R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, and F. Marcelloni A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems IEEE Transactions on Fuzzy Systems 17 5 2009 1106 1122
    • (2009) IEEE Transactions on Fuzzy Systems , vol.17 , Issue.5 , pp. 1106-1122
    • Alcalá, R.1    Ducange, P.2    Herrera, F.3    Lazzerini, B.4    Marcelloni, F.5
  • 17
    • 82655162083 scopus 로고    scopus 로고
    • Extracting linguistic rules from data sets using fuzzy logic and genetic algorithms
    • D. Meng, and Z. Pei Extracting linguistic rules from data sets using fuzzy logic and genetic algorithms Neurocomputing 78 1 2012 48 54
    • (2012) Neurocomputing , vol.78 , Issue.1 , pp. 48-54
    • Meng, D.1    Pei, Z.2
  • 22
    • 31944448941 scopus 로고    scopus 로고
    • A study of particle swarm optimization particle trajectories
    • DOI 10.1016/j.ins.2005.02.003, PII S0020025505000630
    • F. van den Bergh, and A.P. Engelbrecht A study of particle swarm optimization particle trajectories Information Science 176 2006 937 971 (Pubitemid 43190068)
    • (2006) Information Sciences , vol.176 , Issue.8 , pp. 937-971
    • Van Den Bergh, F.1    Engelbrecht, A.P.2
  • 24
    • 0034245336 scopus 로고    scopus 로고
    • Genetic algorithm for the design of a class of fuzzy controllers: An alternative approach
    • K. Belarbi, and F. Titel Genetic algorithm for the design of a class of fuzzy controllers: an alternative approach IEEE Transactions on Fuzzy Systems 8 4 2000 398 405
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.4 , pp. 398-405
    • Belarbi, K.1    Titel, F.2
  • 25
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
    • C.F. Juang A hybrid of genetic algorithm and particle swarm optimization for recurrent network design IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 2 2004 997 1006
    • (2004) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 26
    • 53849097355 scopus 로고    scopus 로고
    • Data-driven fuzzy clustering based on maximum entropy principle and PSO
    • D.B. Chen, and C.X. Zhao Data-driven fuzzy clustering based on maximum entropy principle and PSO Expert Systems with Applications 36 1 2009 625 633
    • (2009) Expert Systems with Applications , vol.36 , Issue.1 , pp. 625-633
    • Chen, D.B.1    Zhao, C.X.2
  • 27
    • 44949127284 scopus 로고    scopus 로고
    • Multi-strategy ensemble particle swarm optimization for dynamic optimization
    • W.L. Du, and B. Li Multi-strategy ensemble particle swarm optimization for dynamic optimization Information Science 178 15 2008 3096 3109
    • (2008) Information Science , vol.178 , Issue.15 , pp. 3096-3109
    • Du, W.L.1    Li, B.2
  • 28
    • 58349111699 scopus 로고    scopus 로고
    • A self-generating fuzzy system with ant and particle swarm cooperative optimization
    • C.F. Juang, and C.Y. Wang A self-generating fuzzy system with ant and particle swarm cooperative optimization Expert Systems with Applications 36 2009 5362 5370
    • (2009) Expert Systems with Applications , vol.36 , pp. 5362-5370
    • Juang, C.F.1    Wang, C.Y.2
  • 29
    • 33746097450 scopus 로고    scopus 로고
    • Hybrid stages particle swarm optimization learning fuzzy modeling systems design
    • H.M. Feng Hybrid stages particle swarm optimization learning fuzzy modeling systems design Tamkang Journal of Science and Engineering 9 2 2006 167 176
    • (2006) Tamkang Journal of Science and Engineering , vol.9 , Issue.2 , pp. 167-176
    • Feng, H.M.1
  • 30
    • 33750375213 scopus 로고    scopus 로고
    • Self-generation RBFNs using evolutional PSO learning
    • H.M. Feng Self-generation RBFNs using evolutional PSO learning Neurocomputing 70 1-3 2006 241 251
    • (2006) Neurocomputing , vol.70 , Issue.13 , pp. 241-251
    • Feng, H.M.1
  • 32
    • 34248523999 scopus 로고    scopus 로고
    • A novel hybrid algorithm for function approximation
    • Z.J. Lee A novel hybrid algorithm for function approximation Expert Systems with Applications 34 1 2008 384 390
    • (2008) Expert Systems with Applications , vol.34 , Issue.1 , pp. 384-390
    • Lee, Z.J.1
  • 33
    • 0032203243 scopus 로고    scopus 로고
    • A transformed input-domain approach to fuzzy modeling
    • PII S1063670698082666
    • E. Kim, M. Park, S. Kim, and M. Park A transformed input-domain approach to fuzzy modeling IEEE Transactions on Fuzzy Systems 6 4 1998 596 604 (Pubitemid 128750089)
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , Issue.4 , pp. 596-604
    • Kim, E.1    Park, M.2    Kim, S.3    Park, M.4
  • 34
    • 11244351633 scopus 로고    scopus 로고
    • A hierarchical fuzzy-clustering approach to fuzzy modeling
    • DOI 10.1016/j.fss.2004.04.013, PII S0165011404001629
    • G. Tsekouras, H. Sarimveis, E. Kavakli, and G. Bafas A hierarchical fuzzy-clustering approach to fuzzy modeling Fuzzy Sets and Systems 150 2005 245 266 (Pubitemid 40056020)
    • (2005) Fuzzy Sets and Systems , vol.150 , Issue.2 , pp. 245-266
    • Tsekouras, G.1    Sarimveis, H.2    Kavakli, E.3    Bafas, G.4
  • 35
    • 0000864293 scopus 로고    scopus 로고
    • A simple but powerful heuristic method for generating fuzzy rules from numerical data
    • K. Nozaki, H. Ishibuchi, and H. Tanaka A simple but powerful method for generating fuzzy rules from numerical data Fuzzy Sets and Systems 86 1997 251 270 (Pubitemid 127683579)
    • (1997) Fuzzy Sets and Systems , vol.86 , Issue.3 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 36
    • 0017714604 scopus 로고
    • Oscillation and chaos in a physiological control system
    • M. Mackey, and L. Glass Oscillation and chaos in a physiological control system Science 1977 197 287
    • (1977) Science , pp. 197-287
    • MacKey, M.1    Glass, L.2
  • 37
    • 0037331913 scopus 로고    scopus 로고
    • Data-driven linguistic modeling using relational fuzzy rules
    • E.G. Adam, and M.Z. Jacek Data-driven linguistic modeling using relational fuzzy rules IEEE Transactions on Fuzzy Systems 11 1 2003 121 134
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , Issue.1 , pp. 121-134
    • Adam, E.G.1    Jacek, M.Z.2
  • 40
    • 0032845493 scopus 로고    scopus 로고
    • HyFIS: Adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
    • DOI 10.1016/S0893-6080(99)00067-2, PII S0893608099000672
    • J. Kim, and N. Kasabov HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems Neural Networks 12 1999 1301 1319 (Pubitemid 29475159)
    • (1999) Neural Networks , vol.12 , Issue.9 , pp. 1301-1319
    • Kim, J.1    Kasabov, N.2
  • 41
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • S.L. Chiu Fuzzy model identification based on cluster estimation Journal of Intelligent & Fuzzy Systems 2 1994 267 278
    • (1994) Journal of Intelligent & Fuzzy Systems , vol.2 , pp. 267-278
    • Chiu, S.L.1
  • 42
    • 0003093755 scopus 로고
    • Predicting the Mackey-Glass time series with cascade-correlation learning
    • D. Touretzky, J. Elman, G. Hinton, T. Sejnowski, San Mateo, CA
    • R.S. Crowder Predicting the Mackey-Glass time series with cascade-correlation learning D. Touretzky, J. Elman, G. Hinton, T. Sejnowski, Proc. 1990 Connectionist Models Summer School San Mateo, CA 1990 117 123
    • (1990) Proc. 1990 Connectionist Models Summer School , pp. 117-123
    • Crowder, R.S.1
  • 43
    • 0031272838 scopus 로고    scopus 로고
    • Forecasting time series with genetic fuzzy predictor ensemble
    • PII S1063670697048376
    • D. Kim, and C. Kim Forecasting time series with genetic fuzzy predictor ensemble IEEE Transactions on Fuzzy Systems 5 4 1997 523 535 (Pubitemid 127768532)
    • (1997) IEEE Transactions on Fuzzy Systems , vol.5 , Issue.4 , pp. 523-535
    • Kim, D.1    Kim, C.2
  • 44
    • 0030283350 scopus 로고    scopus 로고
    • Radial basis function based adaptive fuzzy systems and their applications to system identification and prediction
    • K.B. Cho, and B.H. Wang Radial basis function based adaptive fuzzy systems their applications to system identification and prediction Fuzzy Sets and Systems 83 1995 325 339 (Pubitemid 126667511)
    • (1996) Fuzzy Sets and Systems , vol.83 , Issue.3 , pp. 325-339
    • Cho, K.B.1    Wang, B.H.2
  • 45
    • 0036131610 scopus 로고    scopus 로고
    • Time series analysis using normalized PG-RBF network with regression weights
    • DOI 10.1016/S0925-2312(01)00338-1, PII S0925231201003381
    • I. Rojas, H. Pomares, J.L. Bernier, J. Ortega, B. Pino, F.J. Pelayo, and A. Prieto Time series analysis using normalized PG-RBF network with regression weights Neurocomputing 42 2002 267 285 (Pubitemid 33069445)
    • (2002) Neurocomputing , vol.42 , pp. 267-285
    • Rojas, I.1    Pomares, H.2    Bernier, J.L.3    Ortega, J.4    Pino, B.5    Pelayo, F.J.6    Prieto, A.7
  • 46
    • 34548170015 scopus 로고    scopus 로고
    • Recursive prediction for long term time series forecasting using advanced models
    • DOI 10.1016/j.neucom.2006.04.015, PII S0925231207001622
    • L.J. Herrera, H. Pomares, I. Rojas, A. Guillén, A. Prieto, and O. Valenzuela Recursive prediction for long term time series forecasting using advanced models Neurocomputing 70 16-18 2007 2870 2880 (Pubitemid 47308639)
    • (2007) Neurocomputing , vol.70 , Issue.16-18 , pp. 2870-2880
    • Herrera, L.J.1    Pomares, H.2    Rojas, I.3    Guillen, A.4    Prieto, A.5    Valenzuela, O.6
  • 47
    • 36048987710 scopus 로고    scopus 로고
    • Structural developments of fuzzy systems with the aid of information granulation
    • DOI 10.1016/j.simpat.2007.09.001, PII S1569190X07001104
    • S.K. Oh, W. Pedrycz, and K.J. Park Structural developments of fuzzy systems with the aid of information granulation Simulation Modelling Practice Theory 15 10 2007 1292 1309 (Pubitemid 350102426)
    • (2007) Simulation Modelling Practice and Theory , vol.15 , Issue.10 , pp. 1292-1309
    • Oh, S.-K.1    Pedrycz, W.2    Park, K.-J.3
  • 48
    • 50149097761 scopus 로고    scopus 로고
    • Identification of fuzzy models using a successive tuning method with a variant identification ratio
    • J.N. Choi, S.K. Oh, and W. Pedrycz Identification of fuzzy models using a successive tuning method with a variant identification ratio Fuzzy Sets and Systems 159 21 2008 2873 2889
    • (2008) Fuzzy Sets and Systems , vol.159 , Issue.21 , pp. 2873-2889
    • Choi, J.N.1    Oh, S.K.2    Pedrycz, W.3
  • 49
    • 21244438033 scopus 로고    scopus 로고
    • Time-series forecasting using flexible neural tree model
    • DOI 10.1016/j.ins.2004.10.005, PII S0020025504002944
    • Y.H. Chen, B. Yang, J.W. Dong, and A. Abraham Time-series forecasting using flexible neural tree model Information Sciences 174 3-4 2005 219 235 (Pubitemid 40893971)
    • (2005) Information Sciences , vol.174 , Issue.3-4 , pp. 219-235
    • Chen, Y.1    Yang, B.2    Dong, J.3    Abraham, A.4
  • 51
    • 0002907696 scopus 로고
    • The evaluation of fuzzy models derived from experimental data
    • R.M. Tong The evaluation of fuzzy models derived from experimental data Fuzzy Sets and Systems 4 1980 1 12
    • (1980) Fuzzy Sets and Systems , vol.4 , pp. 1-12
    • Tong, R.M.1
  • 52
    • 0022093877 scopus 로고
    • Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data
    • W. Pedrycz Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data Fuzzy Sets Systems 16 1985 163 175 (Pubitemid 15528217)
    • (1985) Fuzzy Sets and Systems , vol.16 , Issue.2 , pp. 163-175
    • Pedrycz Witold1
  • 54
    • 34249315845 scopus 로고    scopus 로고
    • Dynamic parameter optimization of evolutionary computation for on-line prediction of time series with changing dynamics
    • DOI 10.1016/j.asoc.2006.01.004, PII S1568494606000093, Soft Computing for Time Series Prediction
    • Y.M. Chen, and C.T. Lin Dynamic parameter optimization of evolutionary computation for on-line prediction of time series with changing dynamics Applied Soft Computing 7 2007 1170 1176 (Pubitemid 46810391)
    • (2007) Applied Soft Computing Journal , vol.7 , Issue.4 , pp. 1170-1176
    • Chen, Y.M.1    Lin, C.-T.2
  • 55
    • 0000185305 scopus 로고
    • Successive identification of a fuzzy model and its application to prediction of a complex system
    • M. Sugeno, and K. Tanaka Successive identification of a fuzzy model and its application to prediction of a complex system Fuzzy Sets and Systems 42 1991 315 334
    • (1991) Fuzzy Sets and Systems , vol.42 , pp. 315-334
    • Sugeno, M.1    Tanaka, K.2
  • 57
    • 79960559801 scopus 로고    scopus 로고
    • Identification of transparent, compact accurate and reliable linguistic fuzzy models
    • A. Riid, and E. Rüstern Identification of transparent, compact accurate and reliable linguistic fuzzy models Information Sciences 181 2011 4378 4393
    • (2011) Information Sciences , vol.181 , pp. 4378-4393
    • Riid, A.1    Rüstern, E.2
  • 59
    • 0029323249 scopus 로고
    • Constructing fuzzy model by self-organizing counter propagation network
    • J. Nie Constructing fuzzy model by self-organizing counter propagation network IEEE Transactions on Systems Man and Cybernetics 25 1995 963 970
    • (1995) IEEE Transactions on Systems Man and Cybernetics , vol.25 , pp. 963-970
    • Nie, J.1


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