Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Weighted regression approach is one of the popular problems in robust regression analysis.
Recently, robust fuzzy regression models have proven to be alternative approaches to fuzzy …

In this article, a new approach is introduced to estimate the parameters of the quantile fuzzy
regression model with mathematical programming based on the weighted aggregation of …

Most of the fuzzy regression approaches proposed in the literature adopted a single
objective function in the generation of fuzzy regression models. These approaches mostly …

In this paper, a hybrid scheme based on recurrent neural networks for approximate
coefficients (parameters) of ridge fuzzy regression model with LR-fuzzy output and crisp …

In this paper, a hybrid scheme based on recurrent neural networks for approximate fuzzy
coefficients (parameters) of fuzzy linear and polynomial regression models with fuzzy output …

Bridge regression is a special family of penalized regressions using a penalty function∑ A j
γ with γ≥ 1 that for γ= 1 and γ= 2, it concludes lasso and ridge regression, respectively. In …

In this paper, previous studies about Fuzzy regression had been presented. The fuzzy
regression is a generalization of the traditional regression model that formulates a fuzzy …

In this article, the hypothesis test and confidence interval for the fuzzy coefficients in the
fuzzy weighted regression model with precise inputs and fuzzy outputs are discussed. By …

The defense performance of intrusion detection system is often affected by class unbalance
data. In order to automatically extract data features of scarce classes to improve the …