메뉴 건너뛰기




Volumn , Issue , 2010, Pages 538-541

Classification systems based on fuzzy cognitive maps

Author keywords

Classification; Data analysis; Fuzzy Cognitive maps; Learning; Least square technique

Indexed keywords

CLASSIFICATION; DATA ANALYSIS; FUZZY COGNITIVE MAP; LEARNING; LEAST-SQUARE TECHNIQUES;

EID: 79952543309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICGEC.2010.138     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 1
    • 0002197262 scopus 로고
    • Distributed representation of fuzzy rules and its application to pattern classication
    • H. Ishibuchi, K. Nozaki, H. Tanaka, Distributed representation of fuzzy rules and its application to pattern classication, Fuzzy Sets and Systems, 1992, 52(1), 21-32
    • (1992) Fuzzy Sets and Systems , vol.52 , Issue.1 , pp. 21-32
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3
  • 2
    • 33846238469 scopus 로고    scopus 로고
    • A weighting function for improving fuzzy classification systems performance
    • DOI 10.1016/j.fss.2006.10.004, PII S0165011406004088
    • E.G. Mansoori, M.J. Zolghadri, S.D. Katebi, A weighting function for improving fuzzy classication systems performance, Fuzzy Sets and Systems, 2007, 158(5), 583-591 (Pubitemid 46107690)
    • (2007) Fuzzy Sets and Systems , vol.158 , Issue.5 , pp. 583-591
    • Mansoori, E.G.1    Zolghadri, M.J.2    Katebi, S.D.3
  • 3
    • 38749093736 scopus 로고    scopus 로고
    • An efcient quantum neuro-fuzzy classier based on fuzzy entropy and compensatory operation
    • Chen, C.H., Lin, C.J, Lin, C.T, An efcient quantum neuro-fuzzy classier based on fuzzy entropy and compensatory operation, Soft Computing, 2008, 12, 567-583
    • (2008) Soft Computing , vol.12 , pp. 567-583
    • Chen, C.H.1    Lin, C.J.2    Lin, C.T.3
  • 4
    • 1242263791 scopus 로고    scopus 로고
    • A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classication
    • D. Chakraborty, N.R. Pal, A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classication, IEEE Transactions on Neural Networks, 2004, 15(1), 110-123
    • (2004) IEEE Transactions on Neural Networks , vol.15 , Issue.1 , pp. 110-123
    • Chakraborty, D.1    Pal, N.R.2
  • 5
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classication rules from data
    • D. Nauck, R. Kruse, A neuro-fuzzy method to learn fuzzy classication rules from data, Fuzzy Sets and Systems, 1997, 89(3), 277-28
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.3 , pp. 277-228
    • Nauck, D.1    Kruse, R.2
  • 6
    • 70349466360 scopus 로고    scopus 로고
    • A CBR-based fuzzy decision tree approach for database classification
    • Pei-Chann Chang, Chin-Yuan Fan, Wei-Yuan Dzan, A CBR-based fuzzy decision tree approach for database classification, Expert Systems with Applications, 2010, 37, 214-225
    • (2010) Expert Systems with Applications , vol.37 , pp. 214-225
    • Chang, P.-C.1    Fan, C.-Y.2    Dzan, W.-Y.3
  • 7
    • 33749653276 scopus 로고    scopus 로고
    • A self-constructing fuzzy CMAC model and its applications
    • DOI 10.1016/j.ins.2006.03.010, PII S0020025506000831
    • C.-Y. Lee, C.-J. Lin, H.-J. Chen, A self-constructing fuzzy CMAC model and its applications, Information Sciences, 2007, 177 (1), 264-280 (Pubitemid 44556687)
    • (2007) Information Sciences , vol.177 , Issue.1 , pp. 264-280
    • Lee, C.-Y.1    Lin, C.-J.2    Chen, H.-J.3
  • 8
    • 22144437737 scopus 로고    scopus 로고
    • Finding useful fuzzy concepts for pattern classification using genetic algorithm
    • DOI 10.1016/j.ins.2004.10.002, PII S0020025504002919
    • Y.-C. Hu, Finding useful fuzzy concepts for pattern classication using genetic algorithm, Information Sciences, 2005, 175 (1-2), 1-19 (Pubitemid 40970696)
    • (2005) Information Sciences , vol.175 , Issue.1-2 , pp. 1-19
    • Hu, Y.-C.1
  • 9
    • 34547681970 scopus 로고    scopus 로고
    • Fuzzy classifier design using genetic algorithms
    • DOI 10.1016/j.patcog.2007.03.028, PII S0031320307001665
    • E. Zhou, A. Khotanzad, Fuzzy classier design using genetic algorithms, Pattern Recognition, 2007, 40 (12), 3401-3414 (Pubitemid 47223278)
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3401-3414
    • Zhou, E.1    Khotanzad, A.2
  • 11
    • 0033083991 scopus 로고    scopus 로고
    • An experimental study of the dynamics of the certainty neuron fuzzy cognitive maps
    • DOI 10.1016/S0925-2312(98)00094-0, PII S0925231298000940
    • A.K. Tsadiras, K. Margaritis, An experimental study of the dynamics of the certainty neuron fuzzy cognitive maps, Neuro computing, 1999, 24: 95-116 (Pubitemid 29098850)
    • (1999) Neurocomputing , vol.24 , Issue.1-3 , pp. 95-116
    • Tsadiras, A.K.1    Margaritis, K.G.2
  • 12
    • 70350331466 scopus 로고    scopus 로고
    • Numerical dynamtic modeling and data driven control via least square techniques and hebbian learning algorithm
    • Liu Xiaodong, Zhang Yanli, Numerical Dynamtic Modeling and Data Driven Control via Least Square Techniques and Hebbian Learning Algorithm, Institute for Scientific Computing and Information, 2010, 7 (1): 66-86
    • (2010) Institute for Scientific Computing and Information , vol.7 , Issue.1 , pp. 66-86
    • Liu, X.1    Zhang, Y.2
  • 14
    • 10944269815 scopus 로고    scopus 로고
    • Group decision support using fuzzy cognitive maps for causal reasoning
    • DOI 10.1023/B:GRUP.0000045748.89201.f3
    • M. Khan, M. Quaddus, Group decision support using fuzzy cognitive maps for causal reasoning, Group Decision Negotiation J. 2004, 13 (5): 463-480 (Pubitemid 40965613)
    • (2004) Group Decision and Negotiation , vol.13 , Issue.5 , pp. 463-480
    • Khan, M.S.1    Quaddus, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.