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Volumn , Issue , 2013, Pages 279-282

Designing Mamdani type fuzzy rule using a collaborative FCM scheme

Author keywords

collaboration; fuzzy c means; fuzzy inference system; privacy and security; structural learning

Indexed keywords

FUZZY SYSTEMS;

EID: 84903629834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iFuzzy.2013.6825450     Document Type: Conference Paper
Times cited : (16)

References (10)
  • 4
    • 0036885192 scopus 로고    scopus 로고
    • Collaborative fuzzy clustering
    • W. Pedrycz, "Collaborative fuzzy clustering," Pattern Recognition Letters, Vol. 23, No. 14, pp. 1675-1686,2002.
    • (2002) Pattern Recognition Letters , vol.23 , Issue.14 , pp. 1675-1686
    • Pedrycz, W.1
  • 5
    • 46849094944 scopus 로고    scopus 로고
    • Collaborative Fuzzy Clustering with the use of Fuzzy C-Means and its Quantification
    • DOI 10.1016/j.fuss.2007.12.030
    • W. Pedrycz and P. Rai, "Collaborative Fuzzy Clustering with the use of Fuzzy C-Means and its Quantification," Fuzzy Sets and Systems, DOI 10.1016/j.fuss.2007.12.030, 2008.
    • (2008) Fuzzy Sets and Systems
    • Pedrycz, W.1    Rai, P.2
  • 7
    • 84903628789 scopus 로고    scopus 로고
    • http://www.mathworks.com/help/fuzzy/genjis3.html.
  • 8
    • 0016451032 scopus 로고
    • An experiment in linguistic synthesis with a fuzzy logic controller
    • Mamdani, E. H. and S. Assilian, "An experiment in linguistic synthesis with a fuzzy logic controller," Int. J Man-machine Studies, Vol. 7, pp. 1-13, 1975.
    • (1975) Int. J Man-machine Studies , vol.7 , pp. 1-13
    • Mamdani, E.H.1    Assilian, S.2
  • 9
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T. and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEE Trans. Systems, Man, and Cybernetics, Vol. 15, pp. 116-132,1985.
    • (1985) IEE Trans. Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 10
    • 84880887495 scopus 로고    scopus 로고
    • A TSK-type-based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications
    • Jan.
    • Y. Y. Lin, J. Y. Chang and e. T. Lin, "A TSK-type-based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications," IEE Trans. on Industrial Electronics., vol. 61, no. I, Jan. 2014.
    • (2014) IEE Trans. on Industrial Electronics , vol.61 , Issue.1
    • Lin, Y.Y.1    Chang, J.Y.2    Lin, E.T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.