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 …

Technology credit scoring models have been used to screen loan applicant firms based on
their technology. Typically a logistic regression model is employed to relate the probability of …

This article proposes a new fuzzy logistic regression framework with high classification
performance against imbalance and separation while keeping the interpretability of classical …

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 …

Correlation coefficient and regression analysis are the most applied statistical approaches
accessible in numerous disciplines due to its applicability and relevance. The neutrosophic …

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 …

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 …

A novel approach to the problem of regression modeling for fuzzy input-output data is
introduced. In order to estimate the parameters of the model, a distance on the space of …

The growing chronic diseases patients and the centralization of medical resources cause
significant economic impact resulting in hospital visits, hospital readmission, and other …