메뉴 건너뛰기




Volumn 3, Issue , 2007, Pages 1304-1308

Improved weighted fuzzy reasoning algorithm based on particle swarm optimization

Author keywords

Maximum Fuzzy Entropy Principle; Overlapping; Particle swarm optimization; Weighted fuzzy reasoning

Indexed keywords

FUZZY RULES; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 38049055409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370346     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 1
    • 0000499483 scopus 로고    scopus 로고
    • Weighted fuzzy production rules
    • D. S. Yeung, E. C. C. Tsang. Weighted fuzzy production rules. Fuzzy Sets System, vol. 88, pp. 299-313, 1997.
    • (1997) Fuzzy Sets System , vol.88 , pp. 299-313
    • Yeung, D.S.1    Tsang, E.C.C.2
  • 2
    • 0000868331 scopus 로고
    • Induction of fuzzy decision trees
    • Y. F. Yuan, M. J. Shaw. Induction of fuzzy decision trees. Fuzzy Sets System, vol. 69, pp. 125-139, 1995.
    • (1995) Fuzzy Sets System , vol.69 , pp. 125-139
    • Yuan, Y.F.1    Shaw, M.J.2
  • 6
    • 38049048865 scopus 로고    scopus 로고
    • Multiple classifier combination model based on particle swarm optimization
    • L.Y. Yang, Z. Tan, G. W. Hu, Multiple classifier combination model based on particle swarm optimization, Mni-Micro Systems, vol 27, no. 7 pp. 1313-1316, 2006.
    • (2006) Mni-Micro Systems , vol.27 , Issue.7 , pp. 1313-1316
    • Yang, L.Y.1    Tan, Z.2    Hu, G.W.3
  • 7
    • 33947245135 scopus 로고    scopus 로고
    • A research on learning weights of fuzzy production rules based on maximum fuzzy entropy
    • X. Z Wang, S. F. An. A research on learning weights of fuzzy production rules based on maximum fuzzy entropy. Journal of computer research and development, vol. 43, no. 4, pp. 673-678, 2006.
    • (2006) Journal of computer research and development , vol.43 , Issue.4 , pp. 673-678
    • Wang, X.Z.1    An, S.F.2
  • 8
    • 38049061783 scopus 로고    scopus 로고
    • UCI repository of machine learning databases and domain theories, FTP address: ftp://ftp.ics.uci.edu/pub/machine-learning-databases, 2005.
    • UCI repository of machine learning databases and domain theories, FTP address: ftp://ftp.ics.uci.edu/pub/machine-learning-databases, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.