메뉴 건너뛰기




Volumn 30, Issue , 2015, Pages 812-822

Medical data classification using interval type-2 fuzzy logic system and wavelets

Author keywords

Breast cancer; Genetic algorithm; Heart disease; Keywords Interval type 2 fuzzy logic system; Medical data classification; Wavelet transformation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CARDIOLOGY; CLUSTERING ALGORITHMS; COMPUTATION THEORY; DATA MINING; DECISION SUPPORT SYSTEMS; DISEASES; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SYSTEMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; METADATA; NEURAL NETWORKS; WAVELET TRANSFORMS;

EID: 84924388742     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.02.016     Document Type: Article
Times cited : (107)

References (56)
  • 1
    • 40649126091 scopus 로고    scopus 로고
    • Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
    • M.A. Mazurowski, P.A. Habas, J.M. Zurada, J.Y. Lo, J.A. Baker, and G.D. Tourassi Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance Neural Netw. 21 2 2008 427 436
    • (2008) Neural Netw. , vol.21 , Issue.2 , pp. 427-436
    • Mazurowski, M.A.1    Habas, P.A.2    Zurada, J.M.3    Lo, J.Y.4    Baker, J.A.5    Tourassi, G.D.6
  • 2
    • 67349259624 scopus 로고    scopus 로고
    • A new feature selection method on classification of medical datasets: Kernel F-score feature selection
    • K. Polat, and S. Güneş A new feature selection method on classification of medical datasets: kernel F-score feature selection Expert Syst. Appl. 36 7 2009 10367 10373
    • (2009) Expert Syst. Appl. , vol.36 , Issue.7 , pp. 10367-10373
    • Polat, K.1    Güneş, S.2
  • 3
    • 74649087307 scopus 로고    scopus 로고
    • A novel feature selection approach for biomedical data classification
    • Y. Peng, Z. Wu, and J. Jiang A novel feature selection approach for biomedical data classification J. Biomed. Inform. 43 1 2010 15 23
    • (2010) J. Biomed. Inform. , vol.43 , Issue.1 , pp. 15-23
    • Peng, Y.1    Wu, Z.2    Jiang, J.3
  • 4
    • 84866062110 scopus 로고    scopus 로고
    • Computational intelligence for heart disease diagnosis: A medical knowledge driven approach
    • J. Nahar, T. Imam, K.S. Tickle, and Y.P.P. Chen Computational intelligence for heart disease diagnosis: a medical knowledge driven approach Expert Syst. Appl. 40 1 2013 96 104
    • (2013) Expert Syst. Appl. , vol.40 , Issue.1 , pp. 96-104
    • Nahar, J.1    Imam, T.2    Tickle, K.S.3    Chen, Y.P.P.4
  • 5
    • 84881609308 scopus 로고    scopus 로고
    • Differential evolution for automatic rule extraction from medical databases
    • I. De Falco Differential evolution for automatic rule extraction from medical databases Appl. Soft Comput. 13 2 2013 1265 1283
    • (2013) Appl. Soft Comput. , vol.13 , Issue.2 , pp. 1265-1283
    • De Falco, I.1
  • 7
    • 77957857208 scopus 로고    scopus 로고
    • Chest diseases diagnosis using artificial neural networks
    • O. Er, N. Yumusak, and F. Temurtas Chest diseases diagnosis using artificial neural networks Expert Syst. Appl. 37 12 2010 7648 7655
    • (2010) Expert Syst. Appl. , vol.37 , Issue.12 , pp. 7648-7655
    • Er, O.1    Yumusak, N.2    Temurtas, F.3
  • 8
    • 68249108418 scopus 로고    scopus 로고
    • An interpretable fuzzy rule-based classification methodology for medical diagnosis
    • I. Gadaras, and L. Mikhailov 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
    • Gadaras, I.1    Mikhailov, L.2
  • 9
    • 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, and 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
  • 10
    • 77957924556 scopus 로고    scopus 로고
    • A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques
    • E.I. Papageorgiou A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques Appl. Soft Comput. 11 1 2011 500 513
    • (2011) Appl. Soft Comput. , vol.11 , Issue.1 , pp. 500-513
    • Papageorgiou, E.I.1
  • 11
    • 84890117327 scopus 로고    scopus 로고
    • A hybrid intelligent system for medical data classification
    • M. Seera, and C.P. Lim A hybrid intelligent system for medical data classification Expert Syst. Appl. 41 5 2014 2239 2249
    • (2014) Expert Syst. Appl. , vol.41 , Issue.5 , pp. 2239-2249
    • Seera, M.1    Lim, C.P.2
  • 13
    • 79952638872 scopus 로고    scopus 로고
    • Design of novel interval type-2 fuzzy controllers for modular and reconfigurable robots: Theory and experiments
    • M. Biglarbegian, W. Melek, and J.M. Mendel Design of novel interval type-2 fuzzy controllers for modular and reconfigurable robots: theory and experiments IEEE Trans. Ind. Electron. 58 4 2011 1371 1384
    • (2011) IEEE Trans. Ind. Electron. , vol.58 , Issue.4 , pp. 1371-1384
    • Biglarbegian, M.1    Melek, W.2    Mendel, J.M.3
  • 14
    • 84655169608 scopus 로고    scopus 로고
    • A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices
    • S. Chakravarty, and P.K. Dash A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices Appl. Soft Comput. 12 2 2012 931 941
    • (2012) Appl. Soft Comput. , vol.12 , Issue.2 , pp. 931-941
    • Chakravarty, S.1    Dash, P.K.2
  • 15
    • 84864225421 scopus 로고    scopus 로고
    • Towards the wide spread use of type-2 fuzzy logic systems in real world applications
    • H. Hagras, and C. Wagner Towards the wide spread use of type-2 fuzzy logic systems in real world applications IEEE Comput. Intell. Mag. 7 3 2012 14 24
    • (2012) IEEE Comput. Intell. Mag. , vol.7 , Issue.3 , pp. 14-24
    • Hagras, H.1    Wagner, C.2
  • 16
    • 84864290302 scopus 로고    scopus 로고
    • Interval type-2 fuzzy logic systems for load forecasting: A comparative study
    • A. Khosravi, S. Nahavandi, D. Creighton, and D. Srinivasan Interval type-2 fuzzy logic systems for load forecasting: a comparative study IEEE Trans. Power Syst. 27 3 2012 1274 1282
    • (2012) IEEE Trans. Power Syst. , vol.27 , Issue.3 , pp. 1274-1282
    • Khosravi, A.1    Nahavandi, S.2    Creighton, D.3    Srinivasan, D.4
  • 18
    • 84889102760 scopus 로고    scopus 로고
    • Interval type-2 fuzzy logic based antenatal care system using phonocardiography
    • V.S. Chourasia, A.K. Tiwari, and R. Gangopadhyay Interval type-2 fuzzy logic based antenatal care system using phonocardiography Appl. Soft Comput. 14 2014 489 497
    • (2014) Appl. Soft Comput. , vol.14 , pp. 489-497
    • Chourasia, V.S.1    Tiwari, A.K.2    Gangopadhyay, R.3
  • 19
    • 84888295223 scopus 로고    scopus 로고
    • Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system
    • S.O. Olatunji, A. Selamat, and A.A. Abdul Raheem Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system Appl. Soft Comput. 14 2014 144 155
    • (2014) Appl. Soft Comput. , vol.14 , pp. 144-155
    • Olatunji, S.O.1    Selamat, A.2    Abdul Raheem, A.A.3
  • 20
  • 21
    • 34248231350 scopus 로고    scopus 로고
    • Type-2 fuzzy logic: A historical view
    • R. John, and S. Coupland Type-2 fuzzy logic: a historical view IEEE Comput. Intell. Mag. 2 1 2007 57 62
    • (2007) IEEE Comput. Intell. Mag. , vol.2 , Issue.1 , pp. 57-62
    • John, R.1    Coupland, S.2
  • 23
    • 33947199640 scopus 로고    scopus 로고
    • Interval type-2 fuzzy logic systems made simple
    • J.M. Mendel, R.I. John, and F. Liu Interval type-2 fuzzy logic systems made simple IEEE Trans. Fuzzy Syst. 14 6 2006 808 821
    • (2006) IEEE Trans. Fuzzy Syst. , vol.14 , Issue.6 , pp. 808-821
    • Mendel, J.M.1    John, R.I.2    Liu, F.3
  • 24
    • 84897584596 scopus 로고    scopus 로고
    • Simplified interval type-2 fuzzy logic systems
    • J. Mendel, and X. Liu Simplified interval type-2 fuzzy logic systems IEEE Trans. Fuzzy Syst. 21 6 2013 1056 1069
    • (2013) IEEE Trans. Fuzzy Syst. , vol.21 , Issue.6 , pp. 1056-1069
    • Mendel, J.1    Liu, X.2
  • 26
    • 84855876107 scopus 로고    scopus 로고
    • The sampling method of defuzzification for type-2 fuzzy sets: Experimental evaluation
    • S. Greenfield, F. Chiclana, R. John, and S. Coupland The sampling method of defuzzification for type-2 fuzzy sets: experimental evaluation Inf. Sci. 189 2012 77 92
    • (2012) Inf. Sci. , vol.189 , pp. 77-92
    • Greenfield, S.1    Chiclana, F.2    John, R.3    Coupland, S.4
  • 27
    • 84878955127 scopus 로고    scopus 로고
    • Defuzzification of the discretised generalised type-2 fuzzy set: Experimental evaluation
    • S. Greenfield, and F. Chiclana Defuzzification of the discretised generalised type-2 fuzzy set: experimental evaluation Inf. Sci. 244 2013 1 25
    • (2013) Inf. Sci. , vol.244 , pp. 1-25
    • Greenfield, S.1    Chiclana, F.2
  • 28
    • 84875241738 scopus 로고    scopus 로고
    • Type-reduction of general type-2 fuzzy sets: The type-1 OWA approach
    • F. Chiclana, and S.M. Zhou Type-reduction of general type-2 fuzzy sets: the type-1 OWA approach Int. J. Intell. Syst. 28 5 2013 505 522
    • (2013) Int. J. Intell. Syst. , vol.28 , Issue.5 , pp. 505-522
    • Chiclana, F.1    Zhou, S.M.2
  • 29
    • 0035247535 scopus 로고    scopus 로고
    • Centroid of a type-2 fuzzy set
    • N.N. Karnik, and J.M. Mendel Centroid of a type-2 fuzzy set Inf. Sci. 132 1 2001 195 220
    • (2001) Inf. Sci. , vol.132 , Issue.1 , pp. 195-220
    • Karnik, N.N.1    Mendel, J.M.2
  • 30
    • 68849106521 scopus 로고    scopus 로고
    • Enhanced Karnik-Mendel algorithms
    • D. Wu, and J.M. Mendel Enhanced Karnik-Mendel algorithms IEEE Trans. Fuzzy Syst. 17 4 2009 923 934
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , Issue.4 , pp. 923-934
    • Wu, D.1    Mendel, J.M.2
  • 31
    • 79953667230 scopus 로고    scopus 로고
    • An enhanced type-reduction algorithm for type-2 fuzzy sets
    • C.Y. Yeh, W.H. Jeng, and S.J. Lee An enhanced type-reduction algorithm for type-2 fuzzy sets IEEE Trans. Fuzzy Syst. 19 2 2011 227 240
    • (2011) IEEE Trans. Fuzzy Syst. , vol.19 , Issue.2 , pp. 227-240
    • Yeh, C.Y.1    Jeng, W.H.2    Lee, S.J.3
  • 32
    • 84867380565 scopus 로고    scopus 로고
    • Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems
    • Taipei, Taiwan
    • D. Wu, and M. Nie Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems Proceedings of IEEE International Conference on Fuzzy Systems Taipei, Taiwan 2011 2131 2138
    • (2011) Proceedings of IEEE International Conference on Fuzzy Systems , pp. 2131-2138
    • Wu, D.1    Nie, M.2
  • 34
    • 84879600476 scopus 로고    scopus 로고
    • Accuracy and complexity evaluation of defuzzification strategies for the discretised interval type-2 fuzzy set
    • S. Greenfield, and F. Chiclana Accuracy and complexity evaluation of defuzzification strategies for the discretised interval type-2 fuzzy set Int. J. Approx. Reason. 54 8 2013 1013 1033
    • (2013) Int. J. Approx. Reason. , vol.54 , Issue.8 , pp. 1013-1033
    • Greenfield, S.1    Chiclana, F.2
  • 35
    • 64549120690 scopus 로고    scopus 로고
    • The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
    • S. Greenfield, F. Chiclana, S. Coupland, and R. John The collapsing method of defuzzification for discretised interval type-2 fuzzy sets Inf. Sci. 179 13 2009 2055 2069
    • (2009) Inf. Sci. , vol.179 , Issue.13 , pp. 2055-2069
    • Greenfield, S.1    Chiclana, F.2    Coupland, S.3    John, R.4
  • 36
    • 55249110204 scopus 로고    scopus 로고
    • Towards an efficient type-reduction method for interval type-2 fuzzy logic systems
    • M. Nie, and W.W. Tan Towards an efficient type-reduction method for interval type-2 fuzzy logic systems IEEE International Conference on Fuzzy System 2008 1425 1432
    • (2008) IEEE International Conference on Fuzzy System , pp. 1425-1432
    • Nie, M.1    Tan, W.W.2
  • 37
    • 0036802260 scopus 로고    scopus 로고
    • Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
    • H. Wu, and J.M. Mendel Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems IEEE Trans. Fuzzy Syst. 10 5 2002 622 639
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.5 , pp. 622-639
    • Wu, H.1    Mendel, J.M.2
  • 38
    • 84871851402 scopus 로고    scopus 로고
    • The collapsing method: Does the direction of collapse affect accuracy?
    • Lisbon
    • S. Greenfield, F. Chiclana, and R.I. John The collapsing method: does the direction of collapse affect accuracy? Proceedings of IFSA-EUSFLAT Lisbon 2009 980 985
    • (2009) Proceedings of IFSA-EUSFLAT , pp. 980-985
    • Greenfield, S.1    Chiclana, F.2    John, R.I.3
  • 39
    • 67149137999 scopus 로고    scopus 로고
    • On constructing parsimonious type-2 fuzzy logic systems via influential rule selection
    • S.M. Zhou, J.M. Garibaldi, R.I. John, and F. Chiclana On constructing parsimonious type-2 fuzzy logic systems via influential rule selection IEEE Trans. Fuzzy Syst. 17 3 2009 654 667
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , Issue.3 , pp. 654-667
    • Zhou, S.M.1    Garibaldi, J.M.2    John, R.I.3    Chiclana, F.4
  • 40
    • 0021583718 scopus 로고
    • FCM: The fuzzy c-means clustering algorithm
    • J.C. Bezdek, R. Ehrlich, and W. Full FCM: the fuzzy c-means clustering algorithm Comput. Geosci. 10 2 1984 191 203
    • (1984) Comput. Geosci. , vol.10 , Issue.2 , pp. 191-203
    • Bezdek, J.C.1    Ehrlich, R.2    Full, W.3
  • 43
    • 84889690989 scopus 로고    scopus 로고
    • Enhancement of medical image details via wavelet homomorphic filtering transform
    • Y. Tan, G. Li, H. Duan, and C. Li Enhancement of medical image details via wavelet homomorphic filtering transform J. Intell. Syst. 23 1 2014 83 94
    • (2014) J. Intell. Syst. , vol.23 , Issue.1 , pp. 83-94
    • Tan, Y.1    Li, G.2    Duan, H.3    Li, C.4
  • 44
    • 84888588407 scopus 로고    scopus 로고
    • An efficient neural network based method for medical image segmentation
    • N. Torbati, A. Ayatollahi, and A. Kermani An efficient neural network based method for medical image segmentation Comput. Biol. Med. 44 2014 76 87
    • (2014) Comput. Biol. Med. , vol.44 , pp. 76-87
    • Torbati, N.1    Ayatollahi, A.2    Kermani, A.3
  • 45
    • 84890541247 scopus 로고    scopus 로고
    • Reversible watermarking scheme for medical image based on differential evolution
    • B. Lei, E.L. Tan, S. Chen, D. Ni, T. Wang, and H. Lei Reversible watermarking scheme for medical image based on differential evolution Expert Syst. Appl. 41 7 2014 3178 3188
    • (2014) Expert Syst. Appl. , vol.41 , Issue.7 , pp. 3178-3188
    • Lei, B.1    Tan, E.L.2    Chen, S.3    Ni, D.4    Wang, T.5    Lei, H.6
  • 46
    • 3042526258 scopus 로고    scopus 로고
    • Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
    • R.Q. Quiroga, Z. Nadasdy, and Y. Ben-Shaul Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering Neural Comput. 16 8 2004 1661 1687
    • (2004) Neural Comput. , vol.16 , Issue.8 , pp. 1661-1687
    • Quiroga, R.Q.1    Nadasdy, Z.2    Ben-Shaul, Y.3
  • 48
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • J.S. Jang ANFIS: adaptive-network-based fuzzy inference system IEEE Trans. Syst. Man Cybern. 23 3 1993 665 685
    • (1993) IEEE Trans. Syst. Man Cybern. , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.S.1
  • 49
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • D.F. Specht Probabilistic neural networks Neural Netw. 3 1990 109 118
    • (1990) Neural Netw. , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 50
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • G.A. Carpenter, S. Grossberg, N. Markuzon, J.H. Reynolds, and D.B. Rosen Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps IEEE Trans. Neural Netw. 3 5 1992 698 713
    • (1992) IEEE Trans. Neural Netw. , vol.3 , Issue.5 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.H.4    Rosen, D.B.5
  • 51
    • 67349287589 scopus 로고    scopus 로고
    • A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique
    • Z. Xu, J. Xuan, T. Shi, B. Wu, and Y. Hu A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique Expert Syst. Appl. 36 9 2009 11801 11807
    • (2009) Expert Syst. Appl. , vol.36 , Issue.9 , pp. 11801-11807
    • Xu, Z.1    Xuan, J.2    Shi, T.3    Wu, B.4    Hu, Y.5
  • 52
    • 0025651706 scopus 로고
    • Multisurface method of pattern separation for medical diagnosis applied to breast cytology
    • W.H. Wolberg, and O.L. Mangasarian Multisurface method of pattern separation for medical diagnosis applied to breast cytology Proc. Natl. Acad. Sci. U. S. A. 87 1990 9193 9196
    • (1990) Proc. Natl. Acad. Sci. U. S. A. , vol.87 , pp. 9193-9196
    • Wolberg, W.H.1    Mangasarian, O.L.2
  • 55
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • T. Fawcett An introduction to ROC analysis Pattern Recognit. Lett. 27 2005 861 874
    • (2005) Pattern Recognit. Lett. , vol.27 , pp. 861-874
    • Fawcett, T.1
  • 56
    • 84871316127 scopus 로고    scopus 로고
    • Constructing compact Takagi-Sugeno rule systems: Identification of complex interactions in epidemiological data
    • S.M. Zhou, R.A. Lyons, S. Brophy, and M.B. Gravenor Constructing compact Takagi-Sugeno rule systems: identification of complex interactions in epidemiological data PLoS ONE 7 12 2012 e51468
    • (2012) PLoS ONE , vol.7 , Issue.12 , pp. e51468
    • Zhou, S.M.1    Lyons, R.A.2    Brophy, S.3    Gravenor, M.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.