메뉴 건너뛰기




Volumn 11, Issue 4, 2011, Pages 3463-3475

On the extraction of decision support rules from fuzzy predictive models

Author keywords

Brain tumours; Fuzzy inductive reasoning; Fuzzy logic; Global heat; Iris; Pima Indian Diabetes; Rule extraction; Virtual campus

Indexed keywords

BRAIN TUMOURS; FUZZY INDUCTIVE REASONING; GLOBAL HEAT; IRIS; PIMA INDIAN DIABETES; RULE EXTRACTION; VIRTUAL CAMPUS;

EID: 79954603817     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.01.018     Document Type: Article
Times cited : (20)

References (28)
  • 1
    • 21244495584 scopus 로고    scopus 로고
    • Computational intelligence methods for rule-based data understanding
    • DOI 10.1109/JPROC.2004.826605, Computational Intelligence Methods for Rule-Based Data Understanding
    • W. Duch, R. Setiono, and J. Zurada Computational intelligence methods for rule-base data understanding Proc. IEEE 92 5 2004 771 805 (Pubitemid 40890729)
    • (2004) Proceedings of the IEEE , vol.92 , Issue.5 , pp. 771-805
    • Duch, W.1    Setiono, R.2    Zurada, J.M.3
  • 2
    • 0028482883 scopus 로고
    • Rule generation from neural networks
    • L.M. Fu Rule generation from neural networks IEEE Trans. Syst. Man Cybern. 28 1994 1114 1124
    • (1994) IEEE Trans. Syst. Man Cybern. , vol.28 , pp. 1114-1124
    • Fu, L.M.1
  • 3
    • 0032164160 scopus 로고    scopus 로고
    • A neural-network model for learning domain rules based on its activation function characteristics
    • L.M. Fu A neural-network model for learning domain rules based on its activation function characteristics IEEE Trans. Neural Netw. 9 5 1998 787 795
    • (1998) IEEE Trans. Neural Netw. , vol.9 , Issue.5 , pp. 787-795
    • Fu, L.M.1
  • 4
    • 0026925044 scopus 로고
    • A connectionist approach for rule-based inference using an improved relaxation method
    • DOI 10.1109/72.159062
    • H. Narazaki, and A. Ralescu A connectionist approach for rule-based inference using an improved relaxation method IEEE Trans. Neural Netw. 3 5 1992 741 751 (Pubitemid 23555779)
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 741-751
    • Narazaki Hiroshi1    Ralescu Anca, L.2
  • 5
    • 33644921465 scopus 로고    scopus 로고
    • Orthogonal Search-Based Rule Extraction (OSRE) for Trained Neural Networks: A Practical and Efficient Approach
    • DOI 10.1109/TNN.2005.863472
    • T.A. Etchells, and P.J.G. Lisboa Orthogonal search-based rule extraction (OSRE) method for trained neural networks: a practical and efficient approach IEEE Trans. Neural Netw. 17 2 2006 374 384 (Pubitemid 43380061)
    • (2006) IEEE Transactions on Neural Networks , vol.17 , Issue.2 , pp. 374-384
    • Etchells, T.A.1    Lisboa, P.J.G.2
  • 6
    • 2442678897 scopus 로고    scopus 로고
    • A genetic-algorithm for discovering small-disjunct rules in data mining
    • DOI 10.1016/S1568-4946(02)00031-5, PII S1568494602000315
    • D. Carvalho, and A. Freitas A genetic algorithm for discovering small-disjunct rules in data mining Appl. Soft Comput. 2 2002 75 88 (Pubitemid 40421590)
    • (2002) Applied Soft Computing Journal , vol.2 , Issue.2 , pp. 75-88
    • Carvalho, D.R.1    Freitas, A.A.2
  • 8
    • 11244318202 scopus 로고    scopus 로고
    • Interpretability issues in data-based learning of fuzzy systems
    • DOI 10.1016/j.fss.2004.06.006, PII S0165011404002428
    • R. Mikut, J. Jakel, and L. Groll Interpretability issues in data-based learning of fuzzy systems Fuzzy Sets Syst. 150 2005 179 197 (Pubitemid 40056017)
    • (2005) Fuzzy Sets and Systems , vol.150 , Issue.2 , pp. 179-197
    • Mikut, R.1    Jakel, J.2    Groll, L.3
  • 9
    • 0141578371 scopus 로고    scopus 로고
    • A new methodology for extraction, optimization and application of crisp and fuzzy logical rules
    • W. Duch, R. Adamczak, and K. Grabczewski A new methodology for extraction, optimization and application of crisp and fuzzy logical rules IEEE Trans. Neural Netw. 11 2 2000
    • (2000) IEEE Trans. Neural Netw. , vol.11 , Issue.2
    • Duch, W.1    Adamczak, R.2    Grabczewski, K.3
  • 10
    • 0035501869 scopus 로고    scopus 로고
    • A methodology for computing with words
    • DOI 10.1016/S0888-613X(01)00042-1, PII S0888613X01000421
    • J. Lawry A methodology for computing with words Int. J. Approx. Reason. 28 2001 51 89 (Pubitemid 32833457)
    • (2001) International Journal of Approximate Reasoning , vol.28 , Issue.2-3 , pp. 51-89
    • Lawry, J.1
  • 11
    • 37249026797 scopus 로고    scopus 로고
    • A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification
    • DOI 10.1016/j.asoc.2007.07.013, PII S1568494607000865
    • A. Quteishat, and C.P. Lim A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification Appl. Soft Comput. 8 2 2008 985 995 (Pubitemid 350266493)
    • (2008) Applied Soft Computing Journal , vol.8 , Issue.2 , pp. 985-995
    • Quteishat, A.1    Lim, C.P.2
  • 12
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • D. Nauck, and R. Kruse A neuro-fuzzy method to learn fuzzy classification rules from data Fuzzy Sets Syst. 89 1997 277 288 (Pubitemid 127699103)
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.3 , pp. 277-288
    • Nauck, D.1    Kruse, R.2
  • 13
    • 1242263791 scopus 로고    scopus 로고
    • A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
    • D. Chakraborty, and N.R. Pal A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification IEEE Trans. Neural Netw. 15 1 2004 110 123
    • (2004) IEEE Trans. Neural Netw. , vol.15 , Issue.1 , pp. 110-123
    • Chakraborty, D.1    Pal, N.R.2
  • 14
    • 33750292535 scopus 로고    scopus 로고
    • A meta-learning approach to automatic kernel selection for support vector machines
    • DOI 10.1016/j.neucom.2006.03.004, PII S0925231206001056
    • S. Ali, and K.A. Smith-Miles A meta-learning approach to automatic kernel selection for support vector machines Neurocomputing 70 2006 173 186 (Pubitemid 44615780)
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 173-186
    • Ali, S.1    Smith-Miles, K.A.2
  • 15
    • 34047263437 scopus 로고    scopus 로고
    • A greedy classification algorithm based on association rule
    • DOI 10.1016/j.asoc.2006.10.008, PII S1568494606000718
    • F.A. Thabtah, and P.I. Cowling A greedy classification algorithm based on association rule Appl. Soft Comput. 7 2007 1102 1111 (Pubitemid 46551942)
    • (2007) Applied Soft Computing Journal , vol.7 , Issue.3 , pp. 1102-1111
    • Thabtah, F.A.1    Cowling, P.I.2
  • 17
    • 79954569871 scopus 로고
    • Co-operating through hierarchical competition in genetic data mining
    • Univ. Edinburgh
    • N.J. Radcliffe, P.D. Surry, Co-operating through hierarchical competition in genetic data mining. Tech. Report #EPCC-TR94-09, Univ. Edinburgh, 1994.
    • (1994) Tech. Report #EPCC-TR94-09
    • Radcliffe, N.J.1    Surry, P.D.2
  • 20
    • 0032008068 scopus 로고    scopus 로고
    • Mixed quantitative/qualitative modeling and simulation of the cardiovascular system
    • DOI 10.1016/S0169-2607(97)00056-4, PII S0169260797000564
    • A. Nebot, F.E. Cellier, and M. Vallverdu Mixed quantitative-qualitative modeling and simulation of the cardiovascular system Comput. Methods Programs Biomed. 55 1998 127 155 (Pubitemid 28157191)
    • (1998) Computer Methods and Programs in Biomedicine , vol.55 , Issue.2 , pp. 127-155
    • Nebot, A.1    Cellier, F.E.2    Vallverdu, M.3
  • 21
    • 38349039665 scopus 로고    scopus 로고
    • Visual-FI.R: A tool for model identification and prediction of dynamical complex systems
    • A. Escobet, A. Nebot, and F.E. Cellier Visual-FI.R: a tool for model identification and prediction of dynamical complex systems Simul. Model. Pract. Theory 16 2008 76 92
    • (2008) Simul. Model. Pract. Theory , vol.16 , pp. 76-92
    • Escobet, A.1    Nebot, A.2    Cellier, F.E.3
  • 22
    • 33644857550 scopus 로고    scopus 로고
    • Reasoning under uncertainty with FIR methodology
    • DOI 10.1016/j.ijar.2005.07.001, PII S0888613X05000460
    • F. Mugica, and A. Nebot Reasoning under uncertainty with FIR methodology Int. J. Approx. Reason. 41 3 2006 287 313 (Pubitemid 43374977)
    • (2006) International Journal of Approximate Reasoning , vol.41 , Issue.3 , pp. 287-313
    • Mugica, F.1    Nebot, A.2
  • 25
    • 34247370602 scopus 로고    scopus 로고
    • IPCC Cambridge University Press
    • IPCC Climate Change 2007 2007 Cambridge University Press
    • (2007) Climate Change 2007
  • 27
    • 33644534475 scopus 로고    scopus 로고
    • A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients
    • M. Juli-Sapé A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients Magn. Reson. Mater. Phys. MAGMA 19 2006 22 33
    • (2006) Magn. Reson. Mater. Phys. MAGMA , vol.19 , pp. 22-33
    • Juli-Sapé, M.1
  • 28
    • 36948999941 scopus 로고    scopus 로고
    • University of California, School of Information and Computer Science Irvine, CA
    • A. Asuncion, and D.J. Newman UCI Machine Learning Repository 2007 University of California, School of Information and Computer Science Irvine, CA http://www.ics.uci.edu/∼mlearn/MLRepository.html
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.