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Statistical Diagnostic of Center Fuzzy Linear Regression Model Based on Fuzzy Decentring Degree

  • Jia-wei Xu
  • Ruo-ning Xu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 367)

Abstract

Aimed at the center fuzzy linear regression model with real input and fuzzy output, the model parameter estimation is discussed on data deletion of fuzzy decentring degree. Statistical diagnostic quantity is established to test outliers or strong influential points in the observed data. And the step is given to examine with the statistical diagnostic quantity. At last the example suggests that the method can improve the accuracy of the computational results effectively.

Keywords

Center fuzzy linear regression model Case deletion model Fuzzy decentring degree 

Notes

Acknowledgments

Thanks to the support by National Natural Science Foundation of China (No. 11271096).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Mathematics and Information SciencesGuangzhou UniversityGuangzhouChina

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