Seung Hoe Choi, Jin Hee Yoon, "Fuzzy Regression Based on Non-Parametric Methods," WSEAS Transactions on Systems and Control, vol. 13, pp. 20-25, 2018, DOI:
Seung Hoe Choi, Jin Hee Yoon. Fuzzy Regression Based on Non-Parametric Methods.
WSEAS Transactions on Systems and Control. 2018;13:20-25.
WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 13, 2018
Fuzzy Regression Based on Non-Parametric Methods
Authors: ,
Abstract: In recent years, a number of methods have been proposed to construct fuzzy regression models based the fuzzy distance. Most of the researches that have been proposed have used the parametric methods specifying the form of the relationship between the dependent and independent variables. In this talk, we introduce nonparametric fuzzy regression methods such as Rank transform method, Theil’s method, Kernel method, k-nearest neighborhood method and Median smoothing method and discuss the efficiency of the proposed methods.
Keywords:
Rank transform method, Theil’s method, Kernel method, k-nearest neighborhood method, Median smoothing method
Pages: 20-25 WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #3 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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