نویسندگان | محسن عارفی,امیرحمزه خمر,محمد قاسم اکبری |
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نشریه | Applied Soft Computing |
شماره صفحات | ۱-۱۲ |
شماره سریال | ۱۰۷ |
شماره مجلد | ۱ |
نوع مقاله | Full Paper |
تاریخ انتشار | ۲۰۲۱ |
رتبه نشریه | ISI |
نوع نشریه | الکترونیکی |
کشور محل چاپ | هلند |
نمایه نشریه | JCR،Scopus |
چکیده مقاله
The fuzzy varying coefficient regression model is a generalized version of fuzzy linear regression model. This kind of model is flexible and adaptable than fuzzy linear regression model. In this paper, we introduce a fuzzy varying coefficient regression model based on the quantile loss function and under the kernel function. Based on the presented goodness of fit indices, we show that the proposed approach is robust under the outlier data. Some applications of this approach are studied on some data sets and a simulated data set
tags: Fuzzy data, Fuzzy varying coefficient regression, Goodness of fit, Kernel function, Robust regression, Quantile loss function