Journal of Computing Science and Engineering

  • 제7권4호
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  • Pages.263-271
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  • 2013
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  • 1976-4677(pISSN)
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  • 2093-8020(eISSN)
한국정보과학회 (Korean Institute of Information Scientists and Engineers)
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Robust Fuzzy Varying Coefficient Regression Analysis with Crisp Inputs and Gaussian Fuzzy Output

  • Yang, Zhihui (College of Sciences, East China Institute of Technology) ;
  • Yin, Yunqiang (College of Sciences, East China Institute of Technology) ;
  • Chen, Yizeng (School of Management, Shanghai University)
  • 투고 : 2013.05.16
  • 심사 : 2013.08.20
  • 발행 : 2013.12.30
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초록

This study presents a fuzzy varying coefficient regression model after deleting the outliers to improve the feasibility and effectiveness of the fuzzy regression model. The objective of our methodology is to allow the fuzzy regression coefficients to vary with a covariate, and simultaneously avoid the impact of data contaminated by outliers. In this paper, fuzzy regression coefficients are represented by Gaussian fuzzy numbers. We also formulate suitable goodness of fit to evaluate the performance of the proposed methodology. An example is given to demonstrate the effectiveness of our methodology.

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참고문헌

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