Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Fuzzy regression using regularlization method based on Tanaka's model

  • Hong Dug-Hun (Department of Mathematics, Myongji University) ;
  • Kim Kyung-Tae (Department of Electronics and Electrical Information Engineering, Kyungwon University)
  • Published : 2006.08.01
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Abstract

Regularlization approach to regression can be easily found in Statistics and Information Science literature. The technique of regularlization was introduced as a way of controlling the smoothness properties of regression function. In this paper, we have presented a new method to evaluate linear and non-linear fuzzy regression model based on Tanaka's model using the idea of regularlization technique. Especially this method is a very attractive approach to model non -linear fuzzy data.

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References

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