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 …

An epidemic is a typical public health emergency that refers to the occurrence and rapid
spread of disease. A good epidemic transmission model plays a crucial role in preventing an …

The focus of this study is to use Monte Carlo method in fuzzy linear regression. The purpose
of the study is to figure out the appropriate error measures for the estimation of fuzzy linear …

Fuzzy linear regression with crisp inputs and fuzzy output data constitutes an important
modeling problem. Basic strategies used to solve this problem, ie, the possibilistic method …

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 system modeling, traditional machine learning methods aim to make a model's output fit
the real output as well as possible. However, sometimes they fail to reach the goal …

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 …

Gaining accreditation from international bodies will improve university reputation, image and
the scientific research quality. As the observation from scholars, the Jordanian private …

This paper presents some novel entropy estimators of a continuous random variable using
simple random sampling (SRS), ranked set sampling (RSS), and double RSS (DRSS) …

Application of quantitative methods for forecasting purposes in financial markets has
attracted significant attention from researchers and managers in recent years when …