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Volumn 39, Issue 23-24, 2013, Pages 7401-7419

Variable coded hierarchical fuzzy classification model using DNA coding and evolutionary programming

Author keywords

Chaotic particle swarm optimization; Classification problem; Coded variable hierarchical fuzzy model; DNA coding; Genetic algorithm

Indexed keywords

ALGORITHMS; BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); COMPUTER PROGRAMMING; DATA MINING; DNA; EVOLUTIONARY ALGORITHMS; EXTRACTION; FEATURE EXTRACTION; FUZZY SETS; FUZZY SYSTEMS; GENE ENCODING; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; PARTICLE SWARM OPTIMIZATION (PSO); OPTIMIZATION;

EID: 84958904636     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2015.03.004     Document Type: Article
Times cited : (18)

References (80)
  • 1
    • 77956615840 scopus 로고    scopus 로고
    • Construction of a neuron-fuzzy classification model based on feature-extraction approach
    • N.-R. Guo, T.-H.S. Li, Construction of a neuron-fuzzy classification model based on feature-extraction approach, Expert Syst. Appl. 38 (1) (2011) 682-691.
    • (2011) Expert Syst. Appl , vol.38 , Issue.1 , pp. 682-691
    • Guo, N.-R.1    Li, T.-H.S.2
  • 2
    • 44949252086 scopus 로고    scopus 로고
    • Design of a two-stage fuzzy classification model
    • T.-H.S. Li, N.R. Guo, C.P. Cheng, Design of a two-stage fuzzy classification model, Expert Syst. Appl. 35 (3) (2008) 1482-1495.
    • (2008) Expert Syst. Appl , vol.35 , Issue.3 , pp. 1482-1495
    • Li, T.-H.S.1    Guo, N.R.2    Cheng, C.P.3
  • 3
    • 33744510962 scopus 로고    scopus 로고
    • Design of hierarchical fuzzy model for classification problem using GAs
    • N.R. Guo, T.-H.S. Li, C.-L. Kuo, Design of hierarchical fuzzy model for classification problem using GAs, Comput. Ind. Eng. 50 (1-2) (2006) 90-104.
    • (2006) Comput. Ind. Eng , vol.50 , Issue.1-2 , pp. 90-104
    • Guo, N.R.1    Li, T.-H.S.2    Kuo, C.-L.3
  • 4
    • 68249108418 scopus 로고    scopus 로고
    • An interpretable fuzzy rule-based classification methodology for medical diagnosis
    • G. Ioannis, M. Ludmil, An interpretable fuzzy rule-based classification methodology for medical diagnosis, Artif. Intell. Med. 47 (1) (2009) 25-41.
    • (2009) Artif. Intell. Med , vol.47 , Issue.1 , pp. 25-41
    • Ioannis, G.1    Ludmil, M.2
  • 5
    • 77957898242 scopus 로고    scopus 로고
    • A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification
    • C.-Y. Fan, P.-C. Chang, J.-J. Lin, J.C. Hsieh, A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification, Appl. Soft Comput. 11 (1) (2011) 632-644.
    • (2011) Appl. Soft Comput , vol.11 , Issue.1 , pp. 632-644
    • Fan, C.-Y.1    Chang, P.-C.2    Lin, J.-J.3    Hsieh, J.C.4
  • 6
    • 50149117517 scopus 로고    scopus 로고
    • New approach to applying neural network in nonlinear dynamic model
    • F.P. Harter, H.F.D.C. Velho, New approach to applying neural network in nonlinear dynamic model, Appl. Math. Modell. 32 (12) (2008) 2621-2633.
    • (2008) Appl. Math. Modell , vol.32 , Issue.12 , pp. 2621-2633
    • Harter, F.P.1    Velho, H.F.D.C.2
  • 7
    • 0037367056 scopus 로고    scopus 로고
    • A back propagation algorithm to estimate the parameters of non-linear dynamic rational models
    • Q.M. Zhu, A back propagation algorithm to estimate the parameters of non-linear dynamic rational models, Appl. Math. Modell. 27 (3) (2003) 169-187.
    • (2003) Appl. Math. Modell , vol.27 , Issue.3 , pp. 169-187
    • Zhu, Q.M.1
  • 8
    • 0344514080 scopus 로고    scopus 로고
    • Gradient-assisted radial basis function networks: theory and applications
    • I.C. Kampolis, E.I. Karangelos, K.C. Giannakoglou, Gradient-assisted radial basis function networks: theory and applications, Appl. Math. Modell. 28 (2) (2004) 197-209.
    • (2004) Appl. Math. Modell , vol.28 , Issue.2 , pp. 197-209
    • Kampolis, I.C.1    Karangelos, E.I.2    Giannakoglou, K.C.3
  • 9
    • 80051893176 scopus 로고    scopus 로고
    • Statistical normalization and back propagation for classification
    • T. Jayalakshmi, A. Santhakumaran, Statistical normalization and back propagation for classification, Int. J. Comput. Theory Eng. 3 (1) (2012) 1793-8201.
    • (2012) Int. J. Comput. Theory Eng , vol.3 , Issue.1 , pp. 1793-8201
    • Jayalakshmi, T.1    Santhakumaran, A.2
  • 10
    • 84867137285 scopus 로고    scopus 로고
    • Application of genetic algorithm optimized neural network connection weights for medical diagnosis of pima Indians diabetes
    • A.G. Karegowda, A.S. Manjunath, M.A. Jayaram, Application of genetic algorithm optimized neural network connection weights for medical diagnosis of pima Indians diabetes, Int. J. Soft Comput. 2 (2) (2012) 15-23.
    • (2012) Int. J. Soft Comput , vol.2 , Issue.2 , pp. 15-23
    • Karegowda, A.G.1    Manjunath, A.S.2    Jayaram, M.A.3
  • 11
  • 12
    • 77951152137 scopus 로고    scopus 로고
    • Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1
    • B. Cetisli, Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1, Expert Syst. Appl. 37 (8) (2010) 6093-6101.
    • (2010) Expert Syst. Appl , vol.37 , Issue.8 , pp. 6093-6101
    • Cetisli, B.1
  • 14
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • H. Ishibuchi, T. Nakashima, T. Murata, Three-objective genetics-based machine learning for linguistic rule extraction, Inf. Sci. 136 (1-4) (2001) 109-133.
    • (2001) Inf. Sci , vol.136 , Issue.1-4 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 15
    • 0032597810 scopus 로고    scopus 로고
    • Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
    • H. Ishibuchi, T. Nakashima, T. Murata, Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems, IEEE Trans. Syst. Man Cybern. Part B Cybern. 29 (5) (1999) 601-618.
    • (1999) IEEE Trans. Syst. Man Cybern. Part B Cybern , vol.29 , Issue.5 , pp. 601-618
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 16
    • 0000919523 scopus 로고    scopus 로고
    • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
    • H. Ishibuchi, T. Murata, I.B. Turksen, Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems, Fuzzy Sets Syst. 89 (2) (1997) 135-150.
    • (1997) Fuzzy Sets Syst , vol.89 , Issue.2 , pp. 135-150
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 18
    • 40649121069 scopus 로고    scopus 로고
    • Rule generation for hierarchical collaborative fuzzy system
    • P. Salgado, Rule generation for hierarchical collaborative fuzzy system, Appl. Math. Modell. 32 (7) (2008) 1159-1178.
    • (2008) Appl. Math. Modell , vol.32 , Issue.7 , pp. 1159-1178
    • Salgado, P.1
  • 19
    • 34547681970 scopus 로고    scopus 로고
    • Fuzzy classifier design using genetic algorithms
    • E. Zhou, A. Khotanzad, Fuzzy classifier design using genetic algorithms, Pattern Recognit. 40 (12) (2007) 3401-3414.
    • (2007) Pattern Recognit , vol.40 , Issue.12 , pp. 3401-3414
    • Zhou, E.1    Khotanzad, A.2
  • 20
  • 21
    • 80053296433 scopus 로고    scopus 로고
    • A general framework for designing a fuzzy rule-based classifier
    • A. Verikas, J. Guzaitis, A. Gelzinis, M. Bacauskiene, A general framework for designing a fuzzy rule-based classifier, Knowl. Inf. Syst. 29 (1) (2011) 203-221.
    • (2011) Knowl. Inf. Syst , vol.29 , Issue.1 , pp. 203-221
    • Verikas, A.1    Guzaitis, J.2    Gelzinis, A.3    Bacauskiene, M.4
  • 22
    • 33846157172 scopus 로고    scopus 로고
    • A hybrid fuzzy-optimization approach to customer grouping-based logistics distribution operations
    • J.-B. Sheu, A hybrid fuzzy-optimization approach to customer grouping-based logistics distribution operations, Appl. Math. Modell. 31 (6) (2007) 1048-1066.
    • (2007) Appl. Math. Modell , vol.31 , Issue.6 , pp. 1048-1066
    • Sheu, J.-B.1
  • 23
    • 83655201315 scopus 로고    scopus 로고
    • Fuzzy criteria for feature selection
    • S.M. Vieira, J.M.C. Sousa, U. Kaymak, Fuzzy criteria for feature selection, Fuzzy Sets Syst. 189 (1) (2012) 1-18.
    • (2012) Fuzzy Sets Syst , vol.189 , Issue.1 , pp. 1-18
    • Vieira, S.M.1    Sousa, J.M.C.2    Kaymak, U.3
  • 24
    • 0033078158 scopus 로고    scopus 로고
    • A New method for constructing membership functions and fuzzy rules from training examples
    • W. Tzu-Ping, C. Shyi-Ming, A New method for constructing membership functions and fuzzy rules from training examples, IEEE Trans. Syst. Man Cybern. Part B Cybern. 29 (1) (1999) 25-40.
    • (1999) IEEE Trans. Syst. Man Cybern. Part B Cybern , vol.29 , Issue.1 , pp. 25-40
    • Tzu-Ping, W.1    Shyi-Ming, C.2
  • 25
    • 0037361892 scopus 로고    scopus 로고
    • Learning fuzzy classification rules from labeled data
    • J.A. Roubos, M. Setnes, J. Abonyi, Learning fuzzy classification rules from labeled data, Inf. Sci. 150 (1-2) (2003) 77-93.
    • (2003) Inf. Sci , vol.150 , Issue.1-2 , pp. 77-93
    • Roubos, J.A.1    Setnes, M.2    Abonyi, J.3
  • 26
    • 80053653987 scopus 로고    scopus 로고
    • A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning
    • J. Alcala-Fdez, R. Alcala, F. Herrera, A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning, IEEE Trans. Fuzzy Syst. 19 (5) (2011) 857-872.
    • (2011) IEEE Trans. Fuzzy Syst , vol.19 , Issue.5 , pp. 857-872
    • Alcala-Fdez, J.1    Alcala, R.2    Herrera, F.3
  • 27
    • 79954603817 scopus 로고    scopus 로고
    • On the extraction of decision support rules from fuzzy predictive models
    • F. Castro, À. Nebot, F. Mugica, On the extraction of decision support rules from fuzzy predictive models, Appl. Soft Comput. 11 (4) (2011) 3463-3475.
    • (2011) Appl. Soft Comput , vol.11 , Issue.4 , pp. 3463-3475
    • Castro, F.1    Nebot, À.2    Mugica, F.3
  • 28
    • 63149186316 scopus 로고    scopus 로고
    • A hybrid coevolutionary algorithm for designing fuzzy classifiers
    • M. Li, Z. Wang, A hybrid coevolutionary algorithm for designing fuzzy classifiers, Inf. Sci. 179 (12) (2009) 1970-1983.
    • (2009) Inf. Sci , vol.179 , Issue.12 , pp. 1970-1983
    • Li, M.1    Wang, Z.2
  • 30
    • 59749100673 scopus 로고    scopus 로고
    • Financial market trading system with a hierarchical coevolutionary fuzzy predictive model
    • H. Huang, M. Pasquier, C. Quek, Financial market trading system with a hierarchical coevolutionary fuzzy predictive model, IEEE Trans. Evol. Comput. 13 (1) (2009) 56-70.
    • (2009) IEEE Trans. Evol. Comput , vol.13 , Issue.1 , pp. 56-70
    • Huang, H.1    Pasquier, M.2    Quek, C.3
  • 31
    • 79955266091 scopus 로고    scopus 로고
    • HiCEFS-A hierarchical coevolutionary approach for the dynamic generation of fuzzy system
    • CEC
    • H. Huang, P. M., C. Quek, HiCEFS-A hierarchical coevolutionary approach for the dynamic generation of fuzzy system, in: IEEE Congress on Evolutionary Computation, 2007. CEC 2007.
    • (2007) IEEE Congress on Evolutionary Computation, 2007
    • Huang, H.1    Quek, P.M.C.2
  • 33
    • 33947661400 scopus 로고    scopus 로고
    • A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts
    • A. Chatterjee, P. Siarry, A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts, Expert Syst. Appl. 33 (4) (2007) 1097-1109.
    • (2007) Expert Syst. Appl , vol.33 , Issue.4 , pp. 1097-1109
    • Chatterjee, A.1    Siarry, P.2
  • 34
    • 84885959516 scopus 로고    scopus 로고
    • A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization
    • Y. Wang, X. Ma, Y. Lao, Y. Wang, A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization, Expert Syst. Appl. 41 (2) (2014) 521-534.
    • (2014) Expert Syst. Appl , vol.41 , Issue.2 , pp. 521-534
    • Wang, Y.1    Ma, X.2    Lao, Y.3    Wang, Y.4
  • 35
    • 34250856811 scopus 로고    scopus 로고
    • Automatic design of hierarchical Takagi-Sugeno type fuzzy systems using evolutionary algorithms
    • C. Yuehui, Y. Bo, A. Abraham, P. Lizhi, Automatic design of hierarchical Takagi-Sugeno type fuzzy systems using evolutionary algorithms, IEEE Trans. Fuzzy Syst. 15 (3) (2007) 385-397.
    • (2007) IEEE Trans. Fuzzy Syst , vol.15 , Issue.3 , pp. 385-397
    • Yuehui, C.1    Bo, Y.2    Abraham, A.3    Lizhi, P.4
  • 36
    • 0141637069 scopus 로고    scopus 로고
    • Inspection and supervision by means of hierarchical fuzzy classifiers
    • U. Priber, W. Kretzschmar, Inspection and supervision by means of hierarchical fuzzy classifiers, Fuzzy Sets Syst. 85 (2) (1997) 263-274.
    • (1997) Fuzzy Sets Syst , vol.85 , Issue.2 , pp. 263-274
    • Priber, U.1    Kretzschmar, W.2
  • 37
    • 0031997283 scopus 로고    scopus 로고
    • Minimal fuzzy memberships and rules using hierarchical genetic algorithms
    • K.-S. Tang, K.-F. Man, Z.-F. Liu, S. Kwong, Minimal fuzzy memberships and rules using hierarchical genetic algorithms, IEEE Trans. Ind. Electron. 45 (1) (1998) 162-169.
    • (1998) IEEE Trans. Ind. Electron , vol.45 , Issue.1 , pp. 162-169
    • Tang, K.-S.1    Man, K.-F.2    Liu, Z.-F.3    Kwong, S.4
  • 38
    • 0012764692 scopus 로고
    • Scientific American Magazine
    • Adleman, Computing with DNA, Scientific American Magazine, 1994, pp. 34-41.
    • (1994) Computing with DNA , pp. 34-41
    • Adleman, L.1
  • 40
    • 79951623042 scopus 로고    scopus 로고
    • FPGA-based parallel DNA algorithm for optimal configurations of an omnidirectional mobile service robot performing fire extinguishment
    • C.-C. Tsai, FPGA-based parallel DNA algorithm for optimal configurations of an omnidirectional mobile service robot performing fire extinguishment, IEEE Trans. Ind. Electron. 58 (3) (2011) 1016-1026.
    • (2011) IEEE Trans. Ind. Electron , vol.58 , Issue.3 , pp. 1016-1026
    • Tsai, C.-C.1
  • 42
    • 70449359469 scopus 로고    scopus 로고
    • PID controller design using double helix structured DNA algorithms with a recovery function
    • J.-J. Kim, J.-J. Lee, PID controller design using double helix structured DNA algorithms with a recovery function, Artif. Life Rob. 12 (1-2) (2008) 241-244.
    • (2008) Artif. Life Rob , vol.12 , Issue.1-2 , pp. 241-244
    • Kim, J.-J.1    Lee, J.-J.2
  • 44
    • 0034514093 scopus 로고    scopus 로고
    • DNA genetic algorithm for design of the generalized membership-type Takagi-Sugeno fuzzy control system
    • D. Yongsheng, R. Lihong, DNA genetic algorithm for design of the generalized membership-type Takagi-Sugeno fuzzy control system, in: IEEE International Conference on Systems, Man, and Cybernetics, 2000, 5, 2000, pp. 3862-3867.
    • (2000) IEEE International Conference on Systems, Man, and Cybernetics, 2000 , vol.5 , pp. 3862-3867
    • Yongsheng, D.1    Lihong, R.2
  • 45
    • 36749016340 scopus 로고    scopus 로고
    • Fast parallel DNA-based algorithms for molecular computation: the set-partition problem
    • W.-L. Chang, Fast parallel DNA-based algorithms for molecular computation: the set-partition problem, IEEE Trans. Nanobiosci. 6 (4) (2007) 346-353.
    • (2007) IEEE Trans. Nanobiosci , vol.6 , Issue.4 , pp. 346-353
    • Chang, W.-L.1
  • 46
    • 77649152701 scopus 로고    scopus 로고
    • A feasible solution to the beam-angle-optimization problem in radiotherapy planning with a DNA-based genetic algorithm
    • L. Yongjie, L. Jie, A feasible solution to the beam-angle-optimization problem in radiotherapy planning with a DNA-based genetic algorithm, IEEE Trans. Biomed. Eng. 57 (3) (2010) 499-508.
    • (2010) IEEE Trans. Biomed. Eng , vol.57 , Issue.3 , pp. 499-508
    • Yongjie, L.1    Jie, L.2
  • 47
    • 44649176951 scopus 로고    scopus 로고
    • Molecular verification of rule-based systems based on DNA computation
    • Y. Chung-Wei, C. Chih-Ping, Molecular verification of rule-based systems based on DNA computation, IEEE Trans. Knowl. Data Eng. 20 (7) (2008) 965-975.
    • (2008) IEEE Trans. Knowl. Data Eng , vol.20 , Issue.7 , pp. 965-975
    • Chung-Wei, Y.1    Chih-Ping, C.2
  • 48
    • 33645510246 scopus 로고    scopus 로고
    • Self-organized PID control design using DNA computing approach
    • H.-Y. Jan, C.-L. Lin, T.-S. Hwang, Self-organized PID control design using DNA computing approach, J. Chin. Inst. Eng. 29 (2) (2006) 251-261.
    • (2006) J. Chin. Inst. Eng , vol.29 , Issue.2 , pp. 251-261
    • Jan, H.-Y.1    Lin, C.-L.2    Hwang, T.-S.3
  • 49
    • 33846606846 scopus 로고    scopus 로고
    • A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability
    • Z.-Q. Zhao, D.-S. Huang, A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability, Appl. Math. Modell. 31 (7) (2007) 1271-1281.
    • (2007) Appl. Math. Modell , vol.31 , Issue.7 , pp. 1271-1281
    • Zhao, Z.-Q.1    Huang, D.-S.2
  • 50
    • 33750810348 scopus 로고    scopus 로고
    • Nonlinear system identification and control using a real-coded genetic algorithm
    • W.-D. Chang, Nonlinear system identification and control using a real-coded genetic algorithm, Appl. Math. Modell. 31 (3) (2007) 541-550.
    • (2007) Appl. Math. Modell , vol.31 , Issue.3 , pp. 541-550
    • Chang, W.-D.1
  • 52
    • 28444498089 scopus 로고    scopus 로고
    • Scheduling problem using genetic algorithm, simulated annealing and the effects of parameter values on GA performance
    • A. Sadegheih, Scheduling problem using genetic algorithm, simulated annealing and the effects of parameter values on GA performance, Appl. Math. Modell. 30 (2) (2006) 147-154.
    • (2006) Appl. Math. Modell , vol.30 , Issue.2 , pp. 147-154
    • Sadegheih, A.1
  • 54
    • 84861810268 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease
    • S. Muthukaruppan, M.J. Er, A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease, Expert Syst. Appl. 39 (14) (2012) 11657-11665.
    • (2012) Expert Syst. Appl , vol.39 , Issue.14 , pp. 11657-11665
    • Muthukaruppan, S.1    Er, M.J.2
  • 55
    • 84859519948 scopus 로고    scopus 로고
    • An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification
    • S. Dehuri, R. Roy, S.-B. Cho, A. Ghosh, An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification, J. Syst. Softw. 85 (6) (2012) 1333-1345.
    • (2012) J. Syst. Softw , vol.85 , Issue.6 , pp. 1333-1345
    • Dehuri, S.1    Roy, R.2    Cho, S.-B.3    Ghosh, A.4
  • 59
    • 58349117662 scopus 로고    scopus 로고
    • Pattern recognition using neural-fuzzy networks based on improved particle swam optimization
    • C.-J. Lin, J.-G. Wang, C.-Y. Lee (Pattern recognition using neural-fuzzy networks based on improved particle swam optimization), Expert Syst. Appl. 36 (2009) 5402-5410 (3, Part 1).
    • (2009) Expert Syst. Appl , vol.36 , Issue.3 , pp. 5402-5410
    • Lin, C.-J.1    Wang, J.-G.2    Lee, C.-Y.3
  • 60
    • 3142697802 scopus 로고    scopus 로고
    • A cooperative approach to particle swarm optimization
    • F. van den Bergh, A.P. Engelbrecht, A cooperative approach to particle swarm optimization, IEEE Trans. Evol. Comput. 8 (3) (2004) 225-239.
    • (2004) IEEE Trans. Evol. Comput , vol.8 , Issue.3 , pp. 225-239
    • van den Bergh, F.1    Engelbrecht, A.P.2
  • 61
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • M. Clerc, J. Kennedy, The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE Trans. Evol. Comput. 6 (1) (2002) 58-73.
    • (2002) IEEE Trans. Evol. Comput , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 62
    • 84862787672 scopus 로고    scopus 로고
    • A novel chaotic particle swarm optimization based fuzzy clustering algorithm
    • C. Li, J. Zhou, P. Kou, J. Xiao, A novel chaotic particle swarm optimization based fuzzy clustering algorithm, Neurocomputing 83 (2012) 98-109.
    • (2012) Neurocomputing , vol.83 , pp. 98-109
    • Li, C.1    Zhou, J.2    Kou, P.3    Xiao, J.4
  • 63
    • 84872499234 scopus 로고    scopus 로고
    • Integration modified wavelet neural networks for solving thin plate bending problem
    • X. Li, J. Ouyang, T. Jiang, B. Yang, Integration modified wavelet neural networks for solving thin plate bending problem, Appl. Math. Modell. 37 (5) (2013) 2983-2994.
    • (2013) Appl. Math. Modell , vol.37 , Issue.5 , pp. 2983-2994
    • Li, X.1    Ouyang, J.2    Jiang, T.3    Yang, B.4
  • 64
    • 78751629236 scopus 로고    scopus 로고
    • A new multi-objective technique for differential fuzzy clustering
    • I. Saha, U. Maulik, D. Plewczynski, A new multi-objective technique for differential fuzzy clustering, Appl. Soft Comput. 11 (2) (2011) 2765-2776.
    • (2011) Appl. Soft Comput , vol.11 , Issue.2 , pp. 2765-2776
    • Saha, I.1    Maulik, U.2    Plewczynski, D.3
  • 66
    • 0032141635 scopus 로고    scopus 로고
    • A multi-objective genetic local search algorithm and its application to flowshop scheduling
    • H. Ishibuchi, T. Murata, A multi-objective genetic local search algorithm and its application to flowshop scheduling, IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 28 (3) (1998) 392-403.
    • (1998) IEEE Trans. Syst. Man Cybern. Part C Appl. Rev , vol.28 , Issue.3 , pp. 392-403
    • Ishibuchi, H.1    Murata, T.2
  • 67
    • 0002994332 scopus 로고    scopus 로고
    • A multi-objective fuzzy classification of large scale atmospheric circulation patterns for precipitation modeling
    • E.C. Ozelkan, A. Galambosi, L. Duckstein, A. Bardossy, A multi-objective fuzzy classification of large scale atmospheric circulation patterns for precipitation modeling, Appl. Math. Comput. 91 (2-3) (1998) 127-142.
    • (1998) Appl. Math. Comput , vol.91 , Issue.2-3 , pp. 127-142
    • Ozelkan, E.C.1    Galambosi, A.2    Duckstein, L.3    Bardossy, A.4
  • 68
    • 33751186914 scopus 로고    scopus 로고
    • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
    • H. Ishibuchi, Y. Nojima, Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning, Int. J. Approximate Reasoning 44 (1) (2007) 4-31.
    • (2007) Int. J. Approximate Reasoning , vol.44 , Issue.1 , pp. 4-31
    • Ishibuchi, H.1    Nojima, Y.2
  • 69
    • 33745727034 scopus 로고    scopus 로고
    • Multi-objective optimization using genetic algorithms: A tutorial
    • A. Konak, D.W. Coit, A.E. Smith, Multi-objective optimization using genetic algorithms: A tutorial, Reliab. Eng. Syst. Saf. 91 (9) (2006) 992-1007.
    • (2006) Reliab. Eng. Syst. Saf , vol.91 , Issue.9 , pp. 992-1007
    • Konak, A.1    Coit, D.W.2    Smith, A.E.3
  • 72
    • 33750267220 scopus 로고    scopus 로고
    • Multi-objective particle swarm optimizers: a survey of the state-of-the-art
    • M. Reyes-Sierra, C.A.C. Coello, Multi-objective particle swarm optimizers: a survey of the state-of-the-art, Int. J. Comput. Intell. Res. 2 (3) (2006) 287-308.
    • (2006) Int. J. Comput. Intell. Res , vol.2 , Issue.3 , pp. 287-308
    • Reyes-Sierra, M.1    Coello, C.A.C.2
  • 73
    • 22044453848 scopus 로고    scopus 로고
    • On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems
    • C. Setzkorn, R.C. Paton, On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems, Bio Systems 81 (2) (2005) 101-112.
    • (2005) Bio Systems , vol.81 , Issue.2 , pp. 101-112
    • Setzkorn, C.1    Paton, R.C.2
  • 75
    • 0346781550 scopus 로고    scopus 로고
    • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
    • H. Ishibuchi, T. Yamamoto, Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining, Fuzzy Sets Syst. 141 (1) (2004) 59-88.
    • (2004) Fuzzy Sets Syst , vol.141 , Issue.1 , pp. 59-88
    • Ishibuchi, H.1    Yamamoto, T.2
  • 76
    • 0346341098 scopus 로고    scopus 로고
    • Classification of aorta Doppler signals using variable coded-hierarchical genetic fuzzy system
    • I. Guler, F. Hardalac, U. Ergun, N. Barisci, Classification of aorta Doppler signals using variable coded-hierarchical genetic fuzzy system, Expert Syst. Appl. 26 (3) (2004) 321-333.
    • (2004) Expert Syst. Appl , vol.26 , Issue.3 , pp. 321-333
    • Guler, I.1    Hardalac, F.2    Ergun, U.3    Barisci, N.4
  • 77
    • 79955598062 scopus 로고    scopus 로고
    • Decision support system based on hierarchical co-evolutionary fuzzy approach: a case study in detecting gamma ray signals
    • H. Huang, M. Pasquier, C. Quek, Decision support system based on hierarchical co-evolutionary fuzzy approach: a case study in detecting gamma ray signals, Expert Syst. Appl. 38 (9) (2011) 10719-10729.
    • (2011) Expert Syst. Appl , vol.38 , Issue.9 , pp. 10719-10729
    • Huang, H.1    Pasquier, M.2    Quek, C.3
  • 78
    • 0028114541 scopus 로고
    • Molecular computation of solutions to combinatorial problems
    • L.M. Adleman, Molecular computation of solutions to combinatorial problems, Science 266 (5187) (1994) 1021-1024.
    • (1994) Science , vol.266 , Issue.5187 , pp. 1021-1024
    • Adleman, L.M.1
  • 79
    • 60849127572 scopus 로고    scopus 로고
    • Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
    • A. Fernandez, M.J.D. Jesus, F. Herrera, Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets, Int. J. Approximate Reasoning 50 (3) (2009) 561-577.
    • (2009) Int. J. Approximate Reasoning , vol.50 , Issue.3 , pp. 561-577
    • Fernandez, A.1    Jesus, M.J.D.2    Herrera, F.3
  • 80
    • 84906057657 scopus 로고    scopus 로고
    • Reservoir flood control operation based on chaotic particle swarm optimization algorithm
    • Y. He, Q. Xu, S. Yang, L. Liao, Reservoir flood control operation based on chaotic particle swarm optimization algorithm, Appl. Math. Modell. 38 (2014) 4480-4492.
    • (2014) Appl. Math. Modell , vol.38 , pp. 4480-4492
    • He, Y.1    Xu, Q.2    Yang, S.3    Liao, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.