Abstract
Fuzzy switching regression models have been extensively used in economics and data mining research. We present a new algorithm named FCWRM (Fuzzy C Weighted Regression Model) to detect the outliers in fuzzy switching regression models while preserving the merits of FCRM algorithm proposed by Hathaway. The theoretic analysis shows that FCWRM can converge to a local minimum of the object function. Several numeric examples demonstrate the effectiveness of algorithm FCWRM. © Springer-Verlag Berlin Heidelberg 2004.
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Shen, H. B., Yang, J., & Wang, S. T. (2004). Outlier detecting in fuzzy switching regression models. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3192, pp. 208–215). Springer Verlag. https://doi.org/10.1007/978-3-540-30106-6_21
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