A Monte Carlo fuzzy logistic regression framework against imbalance and separation

DOI10.1016/j.ins.2023.119893MaRDI QIDQ6192303

Haydar Demirhan, Duygu İçen, Georgios Charizanos

Publication date: 12 February 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

imbalanceMonte Carlologistic regressionseparationfuzzificationbinary responsetriangular fuzzy numbers

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

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• Fuzzy logistic regression based on the least squares approach with application in clinical studies
• Monte Carlo methods in fuzzy linear regression. II
• Monte Carlo methods in fuzzy linear regression
• Introduction to Fuzzy Logic using MATLAB
• Bayesian Multivariate Logistic Regression
• Operations on fuzzy numbers
• The basic properties of interval arithmetic, its software realizations and some applications

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