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Volumn 11, Issue 6, 2003, Pages 866-869

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EID: 85008048495     PISSN: 10636706     EISSN: 19410034     Source Type: Journal    
DOI: 10.1109/TFUZZ.2003.819820     Document Type: Article
Times cited : (8)

References (24)
  • 1
    • 0034207436 scopus 로고    scopus 로고
    • A proposal to improve the accuracy of linguistic modeling
    • June
    • O. Cordón and F. Herrera, “A proposal to improve the accuracy of linguistic modeling,” IEEE Trans. Fuzzy Syst., vol. 8, pp. 335-344, June 2000.
    • (2000) IEEE Trans. Fuzzy Syst. , vol.8 , pp. 335-344
    • Cordón, O.1    Herrera, F.2
  • 2
    • 0033279902 scopus 로고    scopus 로고
    • A hybrid clustering and gradient descent approach for fuzzy modeling
    • Dec.
    • C.-C. Wong and C.-C. Chen, “A hybrid clustering and gradient descent approach for fuzzy modeling,” IEEE Trans. Syst., Man, Cybern. B, vol. 29, pp. 686-693, Dec. 2000.
    • (2000) IEEE Trans. Syst., Man, Cybern. B , vol.29 , pp. 686-693
    • Wong, C.-C.1    Chen, C.-C.2
  • 3
    • 0034513025 scopus 로고    scopus 로고
    • A GA-based method for constructing fuzzy systems directly from numerical data
    • Dec.
    • C.-C. Wong and C.-C. Chen, “A GA-based method for constructing fuzzy systems directly from numerical data,” IEEE Trans. Syst., Man, Cybern. B, vol. 30, pp. 904-911, Dec. 2000.
    • (2000) IEEE Trans. Syst., Man, Cybern. B , vol.30 , pp. 904-911
    • Wong, C.-C.1    Chen, C.-C.2
  • 4
    • 0034297775 scopus 로고    scopus 로고
    • Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm
    • Oct.
    • J. Espinosa and J. Vandewalle, “Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm,” IEEE Trans. Fuzzy Systems, vol. 8, pp. 591-600, Oct. 2000.
    • (2000) IEEE Trans. Fuzzy Systems , vol.8 , pp. 591-600
    • Espinosa, J.1    Vandewalle, J.2
  • 5
    • 0035303189 scopus 로고    scopus 로고
    • Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning
    • Apr.
    • J.-C. Duan and F.-L. Chung, “Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning,” IEEE Trans. Fuzzy Systems, vol. 9, pp. 293-306, Apr. 2001.
    • (2001) IEEE Trans. Fuzzy Systems , vol.9 , pp. 293-306
    • Duan, J.-C.1    Chung, F.-L.2
  • 6
    • 0035245287 scopus 로고    scopus 로고
    • Fuzzy wavelet networks for function learning
    • Feb.
    • D.W.C. Ho, P.-A. Zhang, and J. Xu, “Fuzzy wavelet networks for function learning,” IEEE Trans. Fuzzy Systems, vol. 9, pp. 200-211, Feb. 2001.
    • (2001) IEEE Trans. Fuzzy Systems , vol.9 , pp. 200-211
    • Ho, D.W.C.1    Zhang, P.-A.2    Xu, J.3
  • 7
    • 0035426538 scopus 로고    scopus 로고
    • Genetic programming for model selection of TSK-fuzzy systems
    • F. Hoffmann and O. Nelles, “Genetic programming for model selection of TSK-fuzzy systems,” Inform. Sci., vol. 136, no. 1-4, pp. 7-28, 2001.
    • (2001) Inform. Sci. , vol.136 , Issue.1-4 , pp. 7-28
    • Hoffmann, F.1    Nelles, O.2
  • 8
    • 0035416271 scopus 로고    scopus 로고
    • The shape of fuzzy sets in adaptive function approximation
    • Aug.
    • S. Mitaim and B. Kosko, “The shape of fuzzy sets in adaptive function approximation,” IEEE Trans. Fuzzy Syst., vol. 9, pp. 637-656, Aug. 2001.
    • (2001) IEEE Trans. Fuzzy Syst. , vol.9 , pp. 637-656
    • Mitaim, S.1    Kosko, B.2
  • 9
    • 0035426815 scopus 로고    scopus 로고
    • Hierarchical genetic fuzzy systems
    • M. Regatteri-Delgado, F. Von Zuben, and F. Gomide, “Hierarchical genetic fuzzy systems,” Inform. Sci., vol. 136, no. 1-4, pp. 29-52, 2001.
    • (2001) Inform. Sci. , vol.136 , Issue.1-4 , pp. 29-52
    • Regatteri-Delgado, M.1    Von Zuben, F.2    Gomide, F.3
  • 10
    • 0032094918 scopus 로고    scopus 로고
    • Similarity measures in fuzzy rule base simplification
    • Man, Cybern. B, June
    • M. Setnes, R. Babuska, U. Kaymak, and H. R. van Nauta Lemke, “Similarity measures in fuzzy rule base simplification,” IEEE Trans. Syst., Man, Cybern. B, vol. 28, pp. 376-386, June 1998.
    • (1998) IEEE Trans. Syst. , vol.28 , pp. 376-386
    • Setnes, M.1    Babuska, R.2    Kaymak, U.3    van Nauta Lemke, H.R.4
  • 11
    • 0028448342 scopus 로고
    • Empirical study on learning in fuzzy systems by rice analysis
    • H. Ishibuchi, K. Nozaki, H. Tanaka, Y. Hosaka, and M. Matsuda, “Empirical study on learning in fuzzy systems by rice analysis,” Fuzzy Sets Syst., vol. 64, pp. 129-144, 1994.
    • (1994) Fuzzy Sets Syst. , vol.64 , pp. 129-144
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3    Hosaka, Y.4    Matsuda, M.5
  • 12
    • 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 Syst., vol. 86, pp. 251-270, 1997.
    • (1997) Fuzzy Sets Syst. , vol.86 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 14
    • 0036683734 scopus 로고    scopus 로고
    • COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
    • Man, Cybern. B, Aug.
    • J. Casillas, O. Cordón, and F. Herrera, “COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules,” IEEE Trans. Syst., Man, Cybern. B, vol. 32, pp. 526-537, Aug. 2002.
    • (2002) IEEE Trans. Syst. , vol.32 , pp. 526-537
    • Casillas, J.1    Cordón, O.2    Herrera, F.3
  • 15
    • 0035415950 scopus 로고    scopus 로고
    • Compact and transparent fuzzy models and classifiers through iterative complexity reduction
    • Aug.
    • J. A. Roubos and R. Babuska, “Compact and transparent fuzzy models and classifiers through iterative complexity reduction,” IEEE Trans. Fuzzy Syst., vol. 9, pp. 516-524, Aug. 2001.
    • (2001) IEEE Trans. Fuzzy Syst. , vol.9 , pp. 516-524
    • Roubos, J.A.1    Babuska, R.2
  • 16
    • 0037597549 scopus 로고    scopus 로고
    • Interpretability Issues in Fuzzy Modeling
    • Eds., New York: Springer-Verlag
    • J. Casillas, O. Cordón, F. Herrera, and L. Magdalena, Eds., Interpretability Issues in Fuzzy Modeling. New York: Springer-Verlag, 2003.
    • (2003)
    • Casillas, J.1    Cordón, O.2    Herrera, F.3    Magdalena, L.4
  • 17
    • 3543069982 scopus 로고    scopus 로고
    • Accuracy Improvements in Linguistic Fuzzy Modeling
    • Eds., NewYork: Springer-Verlag
    • J. Casillas, O. Cordón, F. Herrera, and L. Magdalena, Eds., Accuracy Improvements in Linguistic Fuzzy Modeling. NewYork: Springer-Verlag, 2003.
    • (2003)
    • Casillas, J.1    Cordón, O.2    Herrera, F.3    Magdalena, L.4
  • 18
    • 0028534525 scopus 로고
    • Soft computing and fuzzy logic
    • June
    • L. A. Zadeh, “Soft computing and fuzzy logic,” IEEE Software, vol. 11, pp. 48-56, June 1994.
    • (1994) IEEE Software , vol.11 , pp. 48-56
    • Zadeh, L.A.1
  • 19
    • 85008008760 scopus 로고    scopus 로고
    • Relating the Theory of Partitions in MV-Logic to the Design of Interpretable Fuzzy Systems
    • New York: Springer-Verlag
    • P. Amato and C. Manara, Relating the Theory of Partitions in MV-Logic to the Design of Interpretable Fuzzy Systems. New York: Springer-Verlag, 2003.
    • (2003)
    • Amato, P.1    Manara, C.2
  • 20
    • 3142710437 scopus 로고    scopus 로고
    • A Formal Model of Interpretability of Linguistic Variables
    • New York: Springer-Verlag
    • U. Bodenhofer and P. Bauer, A Formal Model of Interpretability of Linguistic Variables. New York: Springer-Verlag, 2003.
    • (2003)
    • Bodenhofer, U.1    Bauer, P.2
  • 21
    • 79960554664 scopus 로고    scopus 로고
    • Expressing Relevance Interpretability and Accuracy of Rule Based Systems
    • New York: Springer-Verlag
    • W. Pedrycz, Expressing Relevance Interpretability and Accuracy of Rule Based Systems. New York: Springer-Verlag, 2003.
    • (2003)
    • Pedrycz, W.1
  • 22
    • 11144333655 scopus 로고    scopus 로고
    • Conciseness of Fuzzy Models
    • New York: Springer-Verlag
    • T. Suzuki and T. Furuhashi, Conciseness of Fuzzy Models. New York: Springer-Verlag, 2003.
    • (2003)
    • Suzuki, T.1    Furuhashi, T.2
  • 23
    • 33646639397 scopus 로고    scopus 로고
    • Exact Trade-Off Between Approximation Accuracy and Interpretability: Solving the Saturation Problem for Certain FRBS's
    • New York: Springer-Verlag
    • D. Tikk and P. Baranyi, Exact Trade-Off Between Approximation Accuracy and Interpretability: Solving the Saturation Problem for Certain FRBS's. New York: Springer-Verlag, 2003.
    • (2003)
    • Tikk, D.1    Baranyi, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.