نویسندگان | Mohsen Arefi,Mohammad Ghasem Akbari |
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نشریه | Soft Computing |
شماره صفحات | 835-849 |
شماره سریال | 25 |
شماره مجلد | 2 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2021 |
رتبه نشریه | ISI |
نوع نشریه | الکترونیکی |
کشور محل چاپ | بلژیک |
نمایه نشریه | JCR،Scopus |
چکیده مقاله
In this paper, a new general approach is presented to fit a fuzzy regression model when the response variable and the parameters of model are as fuzzy numbers. In this approach, for estimating the parameters of fuzzy regression model, a new definition of objective function is introduced based on the different loss functions and under the averages of differences between the α-cuts of errors. The application of the proposed approach is studied using a simulated data set and some real data sets in the presence of different types of outliers.
tags: Goodness of fit, Loss function, Outlier data, Robust fuzzy regression