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 …

Diagnosis, being the first step in medical practice, is very crucial for clinical decision making.
This paper investigates state-of-the-art computational intelligence (CI) techniques applied in …

In the context of medical decision making, the Type 2 Diabetes (T2D) pharmacological
therapy selection problem involves several medications that can be stipulated to manage …

The distance between triangular fuzzy numbers is an important research topic in many
fields. In this paper, we introduce a new distance between triangular fuzzy numbers, merge …

Diabetic retinopathy is a major cause of vision loss in diabetic patients. Currently, there is a
need for making decisions using intelligent computer algorithms when screening a large …

Fuzzy set theory is a powerful tool to describe and process uncertainty information which
exist in real world, and fuzzy regression is an important research topic which can be used to …

This study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy
output data. A least absolutes deviations approach to construct such a model is developed …

Due to the small sample size of data available in medical research and the levels of
uncertainty and ambiguity associated with medical data, some researchers have employed …

To model fuzzy binary observations, a new model named “Fuzzy Logistic Regression” is
proposed and discussed in this study. In fact, due to the vague nature of binary observations …

Abstract The Fuzzy Logistic Regression model can estimate the parameters when the data-
set contains ambiguousness due to vagueness and cannot consider the degree of …