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Volumn 158, Issue 19, 2007, Pages 2134-2152

Fuzzy-rough nearest neighbor algorithms in classification

Author keywords

Classifiers; Crisp; Fuzzy; K nearest neighbor; Rough; Rough fuzzy and fuzzy rough

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; FUZZY SETS; SEMANTICS;

EID: 34547577484     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2007.04.023     Document Type: Article
Times cited : (92)

References (33)
  • 2
    • 0006373178 scopus 로고    scopus 로고
    • A review of probabilistic, fuzzy, and neural models for pattern recognition
    • Chen C.H. (Ed), McGraw-Hill, New York
    • Bezdek J.C. A review of probabilistic, fuzzy, and neural models for pattern recognition. In: Chen C.H. (Ed). Fuzzy Logic and Neural Network Handbook (1996), McGraw-Hill, New York
    • (1996) Fuzzy Logic and Neural Network Handbook
    • Bezdek, J.C.1
  • 3
    • 33644936338 scopus 로고    scopus 로고
    • H. Bian, L. Mazlack, Fuzzy-rough nearest-neighbor classification approach, in: 22nd Internat. Conf. of the North American Fuzzy Information Processing Society-NAFIPS, 2003.
  • 4
    • 34547584658 scopus 로고    scopus 로고
    • H. Bian, W. Shen, Fuzzy-rough nearest-neighbor classification method: an integrated framework, in: Proc. IASTED Internat. Conf. on Applied Informatics, Austria, 2002, pp. 160-164.
  • 6
    • 34547587789 scopus 로고    scopus 로고
    • C.L. Blake, C.J. Merz, UCI repository of machine learning databases, 〈http://www.ics.uci.edu/∼mlearn/mlrepository.html〉, 1998.
  • 7
    • 34547559729 scopus 로고    scopus 로고
    • B.V. Dasarathy (Ed.), Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques, IEEE Computer Society Press, Los Alamitos, CA, 1991.
  • 9
    • 84963133436 scopus 로고
    • Rough-fuzzy sets and fuzzy-rough sets
    • Dubois D., and Prade H. Rough-fuzzy sets and fuzzy-rough sets. Internat. J. Gen. Systems 17 2-3 (1990) 191-209
    • (1990) Internat. J. Gen. Systems , vol.17 , Issue.2-3 , pp. 191-209
    • Dubois, D.1    Prade, H.2
  • 12
    • 0026120634 scopus 로고
    • Letter recognition using Holland-style adaptive classifiers
    • Frey P.W., and Slate D.J. Letter recognition using Holland-style adaptive classifiers. Mach. Learning 6 2 (1991)
    • (1991) Mach. Learning , vol.6 , Issue.2
    • Frey, P.W.1    Slate, D.J.2
  • 13
    • 84945709355 scopus 로고
    • An algorithm for finding best matches in logarithmic time
    • Friedman J., Bentley J., and Finkel R. An algorithm for finding best matches in logarithmic time. ACM Trans. Math. Software 3 3 (1977) 209-226
    • (1977) ACM Trans. Math. Software , vol.3 , Issue.3 , pp. 209-226
    • Friedman, J.1    Bentley, J.2    Finkel, R.3
  • 20
    • 0032021907 scopus 로고    scopus 로고
    • Comparison of fast neighbor classifiers for handwritten character recognition
    • Mico L., and Oncina J. Comparison of fast neighbor classifiers for handwritten character recognition. Pattern Recognition Lett. 19 (1998) 351-356
    • (1998) Pattern Recognition Lett. , vol.19 , pp. 351-356
    • Mico, L.1    Oncina, J.2
  • 21
    • 0030169250 scopus 로고    scopus 로고
    • A fast branch and bound nearest neighbour classifier in metric space
    • Mico L., Oncina J., and Carrasco R.C. A fast branch and bound nearest neighbour classifier in metric space. Pattern Recognition Lett. 17 (1996) 731-739
    • (1996) Pattern Recognition Lett. , vol.17 , pp. 731-739
    • Mico, L.1    Oncina, J.2    Carrasco, R.C.3
  • 23
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy C-means model
    • Pal N.R., and Bezdek J.C. On cluster validity for the fuzzy C-means model. IEEE Trans. Fuzzy Systems 3 3 (1995) 330-379
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.3 , pp. 330-379
    • Pal, N.R.1    Bezdek, J.C.2
  • 27
    • 0037121517 scopus 로고    scopus 로고
    • Rough-fuzzy functions in classification
    • Sarbar M. Rough-fuzzy functions in classification. Fuzzy Sets and Systems 132 3 (2002) 353-369
    • (2002) Fuzzy Sets and Systems , vol.132 , Issue.3 , pp. 353-369
    • Sarbar, M.1
  • 28
    • 0345195977 scopus 로고    scopus 로고
    • Universal approximation using feedforward neural networks: a survey of some existing methods, and some results
    • Scarselli F., and Tsoi A.C. Universal approximation using feedforward neural networks: a survey of some existing methods, and some results. Neural Networks 11 1 (1998) 15-37
    • (1998) Neural Networks , vol.11 , Issue.1 , pp. 15-37
    • Scarselli, F.1    Tsoi, A.C.2
  • 31
  • 32
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1 (1978) 3-28
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 3-28
    • Zadeh, L.A.1
  • 33
    • 0022162187 scopus 로고
    • Quantifying vagueness in decision models
    • Zimmerman H.Z. Quantifying vagueness in decision models. European J. Oper. Res. 22 (1985) 148-158
    • (1985) European J. Oper. Res. , vol.22 , pp. 148-158
    • Zimmerman, H.Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.