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Volumn 192, Issue , 2006, Pages 259-280

Learning linguistic fuzzy rules by using estimation of distribution algorithms as the search engine in the COR methodology

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EID: 33845235843     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/11007937_11     Document Type: Article
Times cited : (4)

References (27)
  • 2
    • 33845256206 scopus 로고    scopus 로고
    • Fuzzyj toolkit & fuzzyjess url
    • Integrated Reasoning Group at NCR
    • Integrated Reasoning Group at NCR. Fuzzyj toolkit & fuzzyjess url. http://www.iit.nrc.ca/IRpublic/fuzzy/fuzzyJToolkit2.html.
  • 3
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Technical Report TR CMU-CS- 94-163, Carnegie Mellon University
    • S. Baluja. Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report TR CMU-CS- 94-163, Carnegie Mellon University, 1994.
    • (1994)
    • Baluja, S.1
  • 4
    • 4243898698 scopus 로고    scopus 로고
    • Combining multiple optimization runs with optimal dependency trees
    • Technical Report TR CMU-CS-97-157, Carnegie Mellon University
    • S. Baluja and S. Davies. Combining multiple optimization runs with optimal dependency trees. Technical Report TR CMU-CS-97-157, Carnegie Mellon University, 1997.
    • (1997)
    • Baluja, S.1    Davies, S.2
  • 7
    • 0036683734 scopus 로고    scopus 로고
    • COR: A methodology to improve ad hoc datadriven linguistic rule learning methods by inducing cooperation among rules
    • J. Casillas, O. Cordón, and F. Herrera. COR: A methodology to improve ad hoc datadriven linguistic rule learning methods by inducing cooperation among rules. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 32(4):526-537, 2002.
    • (2002) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.32 , Issue.4 , pp. 526-537
    • Casillas, J.1    Cordón, O.2    Herrera, F.3
  • 8
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • C. Chow and C. Liu. Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14:462-467, 1968.
    • (1968) IEEE Transactions on Information Theory , vol.14 , pp. 462-467
    • Chow, C.1    Liu, C.2
  • 17
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • H. Mühlenbein. The equation for response to selection and its use for prediction. Evolutionary Computation, 5(3):303-346, 1997.
    • (1997) Evolutionary Computation , vol.5 , Issue.3 , pp. 303-346
    • Mühlenbein, H.1
  • 18
    • 0000864293 scopus 로고    scopus 로고
    • A simple but powerful heuristic method for generating fuzzy rules from numerical data
    • K. Nozaki, H. Ishibuchi, and H. Tanaka. A simple but powerful heuristic method for generating fuzzy rules from numerical data. Fuzzy Sets and Systems, 86:251-270, 1997.
    • (1997) Fuzzy Sets and Systems , vol.86 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 19
    • 0006780787 scopus 로고    scopus 로고
    • Learning cooperative fuzzy linguistic rules using ant colony optimization algorithms
    • Technical Report TR DECSAI-00119, University of Granada
    • J. Casillas O., Cordón F., and Herrera. Learning cooperative fuzzy linguistic rules using ant colony optimization algorithms. Technical Report TR DECSAI-00119, University of Granada, 2000.
    • (2000)
    • Casillas, J.1    Cordón, O.2    Herrera, F.3
  • 21
    • 45449126257 scopus 로고
    • Structure identification of fuzzy models
    • M. Sugeno and G. T. Kang. Structure identification of fuzzy models. Fuzzy Sets and Systems, 28:15-33, 1988.
    • (1988) Fuzzy Sets and Systems , vol.28 , pp. 15-33
    • Sugeno, M.1    Kang, G.T.2
  • 22
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • T. Takagi and M. Sugeno. Fuzzy identification of systems and its application to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, 15:116-132, 1985.
    • (1985) IEEE Transactions on Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 25
    • 0016458950 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning. Part i
    • L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. part i. Information Science, 8:199-249, 1975.
    • (1975) Information Science , vol.8 , pp. 199-249
    • Zadeh, L.A.1
  • 26
    • 0016459349 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning. Part ii
    • L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. part ii. Information Science, 8:301-357, 1975.
    • (1975) Information Science , vol.8 , pp. 301-357
    • Zadeh, L.A.1
  • 27
    • 0016631726 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning. Part iii
    • L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. part iii. Information Science, 9:43-80, 1975.
    • (1975) Information Science , vol.9 , pp. 43-80
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.