Authors | محسن عارفی,امیرحمزه خمر,محمد قاسم اکبری |
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Journal | Applied Soft Computing |
Page number | ۱-۱۲ |
Serial number | ۱۰۷ |
Volume number | ۱ |
Paper Type | Full Paper |
Published At | ۲۰۲۱ |
Journal Grade | ISI |
Journal Type | Electronic |
Journal Country | Netherlands |
Journal Index | JCR،Scopus |
Abstract
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