Granularity and specificity in fuzzy function approximation

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn , Issue , 1998, Pages 105-109

  Sudkamp, Thomas ^a   Hammell, Robert J ^b  

^a Wright State University   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY RULES;

DEGREE OF SPECIFICITY; FUZZY FUNCTION APPROXIMATIONS; FUZZY RULE BASIS; LEARNING FUZZY RULES; RULE BASIS;

FUZZY INFERENCE;

EID: 85040239438     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.1998.715546     Document Type: Conference Paper

References (6)

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3. J. A. Dickerson and B. A. Kosko, "Fuzzy function approximation with ellipsoidal rules," IEEE Transactions on Systems, Man, and Cybernetics, vol. 26, no. 4, pp. 542-560, 1996.
4. S. Abe and T. Thawonmas, "A fuzzy classifier with ellipsoid regions," IEEE Transactions on Fuzzy Systems, vol. 5, no. 3, pp. 358-368, 1997.
5. S. Mitaim and B. Kosko, "What is the best shape for a fuzzy set in function approximation?," in Proceedings of the 5th IEEE Conference on Fuzzy Systems, (New Orleans), pp. 1237-1243, 1996.
6. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Transactions on Systems, Man, and Cybernetics, vol. 15, pp. 329-346, 1985.