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- W2023223361 abstract "By introducing a novel membership constraint function, a new algorithm called fuzzy c-means switching regression model with generalized improved fuzzy partitions (GIFP-FCRM) is proposed. This algorithm seems less sensitive to noise and outliers than the classical fuzzy C switching regression model (FCRM), and provides a generalized model with the fuzziness index m for the fuzzy C switching regression model with improved fuzzy partitions (IFP-FCRM). Furthermore, with fuzzy parameter α, the classical FCRM and IFP-FCRM can be taken as two special cases of the proposed algorithm. Several experimental results are presented to demonstrate its advantage over FCRM in both noise insensitivity and robustness capability." @default.
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- W2023223361 date "2010-10-01" @default.
- W2023223361 modified "2023-09-23" @default.
- W2023223361 title "Research on Fuzzy C Switching Regression Model with Generalized Improved Fuzzy Partitions" @default.
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- W2023223361 doi "https://doi.org/10.1109/ccpr.2010.5659311" @default.
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