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Volumn 30, Issue 12, 2006, Pages 1525-1534

A new approach to universal approximation of fuzzy functions on a discrete set of points

Author keywords

Fuzzy approximation; Fuzzy linear programming

Indexed keywords

INTERPOLATION; LINEAR PROGRAMMING; POLYNOMIAL APPROXIMATION; REGRESSION ANALYSIS;

EID: 33746928778     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2005.07.004     Document Type: Article
Times cited : (13)

References (11)
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  • 2
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  • 3
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  • 4
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    • Interpolation of fuzzy data by complete splines
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    • Abbasbandy, S.1
  • 5
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    • Interpolation of fuzzy data by natural splines
    • Abbasbandy S., and Babolian E. Interpolation of fuzzy data by natural splines. J. Appl. Math. Comput. 5 2 (1998) 457-463
    • (1998) J. Appl. Math. Comput. , vol.5 , Issue.2 , pp. 457-463
    • Abbasbandy, S.1    Babolian, E.2
  • 6
    • 33746897588 scopus 로고    scopus 로고
    • S. Abbasbandy, M. Amirfakhrian, Best approximation of fuzzy functions by optimization, in: Proceeding of the 4th Seminar on Fuzzy Sets and its Applications, Mazandaran University, Iran, 2003, pp. 8-15.
  • 7
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    • A new approach for defuzzification
    • Ma M., Kandel A., and Friedman M. A new approach for defuzzification. Fuzzy Sets Syst. 111 (2000) 351-356
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    • Ma, M.1    Kandel, A.2    Friedman, M.3
  • 8
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    • Ranking and defuzzification methods based on area compensation
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    • Fortemps, P.1    Roubens, M.2
  • 9
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    • Inequality constraints between fuzzy numbers and their use in mathematical programming
    • Slowinski R., and Teghem J. (Eds), Kluwer Academic Publishers, Dordrecht
    • Roubens M. Inequality constraints between fuzzy numbers and their use in mathematical programming. In: Slowinski R., and Teghem J. (Eds). Stochastic versus Fuzzy Approachs to Multiobjective Mathematical Programming Under Uncertainty (1991), Kluwer Academic Publishers, Dordrecht 321-330
    • (1991) Stochastic versus Fuzzy Approachs to Multiobjective Mathematical Programming Under Uncertainty , pp. 321-330
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  • 10
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    • Linear programming with fuzzy variables
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.