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Fuzzy regression : a scalar variable formation

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Języki publikacji
EN
Abstrakty
EN
In reliability, quality control and risk analysis, fuzzy methodologies are more and more involved and inevitably introduced difficulties in seeking fuzzy functional relationship between factors. In this paper, we propose a scalar variable formation of fuzzy regression model based on the credibility measure theoretical foundation. It is expecting our scalar variable treatments on fuzzy regression models will greatly simplify the efforts to seeking fuzzy functional relationship between fuzzy factors. An M-estimator for the regression coefficients is obtained and accordingly the properties and the variance-covariance for the coefficient M-estimators are also investigated in terms of weighted least-squares arguments. Finally, we explore the asymptotic membership function for the coefficient M-estimators.
Rocznik
Tom
Strony
159--167
Opis fizyczny
Bibliogr. 11 poz., tab.
Twórcy
autor
  • University of Cape Town, Cape Town, South Africa
autor
  • South African National Biodiversity Institute, Cape Town, South Africa
Bibliografia
  • [1] Diamond, P. (1987). Least squares fitting of several fuzzy variables, in: J.C. Bezdek (Ed.). Analysis of Fuzzy Information, CRC Press, Tokyo, 329-331.
  • [2] Diamond, P. (1988). Fuzzy least squares. Inform. Sci. 46, 141-157.
  • [3] Dubois, D. & Prade, H. (1980). Theory and Applications, Fuzzy Sets and Systems. Academic Press, New York.
  • [4] Kacprzyk, J. & Fedrizzi, M. (1992). Fuzzy Regression Analysis. Physica-Verlag, Heidelberg.
  • [5] Kuafmann, A. (1975). Introduction to the Theory of Fuzzy Subsets. Vol. I. New York: Academic Press.
  • [6] Liu, B. D. (2004). Uncertainty Theory: An Introduction to Its Axiomatic Foundations. Berlin: Springer-Verlag Heidelberg.
  • [7] Liu, B. D. (2007). Uncertainty Theory: An Introduction to Its Axiomatic Foundations. 2nd Edition. Berlin: Springer-Verlag Heidelberg.
  • [8] Tanaka, H. Uejima, S. & Asia, K. (1980). Fuzzy linear regression model. Internat. Congress on Applied Systems Research and Cybernetics 1980, Aculpoco, Mexico.
  • [9] Tanaka, H., Uejima, S. & Asia, K. (1982). Linear regression analysis with Fuzzy model. IEEE Trans. Systems Man. Cybernet 12 (6): 903-907.
  • [10] Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, Vol. 8: 338-353.
  • [11] Zadeh, L. A. (1978). Fuzzy sets as basis for a theory of possibility. Fuzzy Sets and Systems, Vol. 1: 3-28.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8276b1c6-fb19-468e-922a-0f3f05af3c3e
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