Journal of the Korean Data and Information Science Society
- Volume 15 Issue 3
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- Pages.617-624
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- 2004
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- 1598-9402(pISSN)
The Rank Transform Method in Nonparametric Fuzzy Regression Model
- Choi, Seung-Hoe (Dept. of General Studies, Hankuk Aviation University) ;
- Lee, Myung-Sook (Dept. of Mathematics, Yonsei University)
- Published : 2004.08.31
Abstract
In this article the fuzzy number rank and the fuzzy rank transformation method are introduced in order to analyse the non-parametric fuzzy regression model which cannot be described as a specific functional form such as the crisp data and fuzzy data as a independent and dependent variables respectively. The effectiveness of fuzzy rank transformation methods is compared with other methods through the numerical examples.
Keywords
- Fuzzy rank transform method;
- Kernel smoothing;
- k-nearest neighbor smoothing;
- Nonparametric fuzzy regression model