Research Paper#Fuzzy Logic, Statistics, Regression, Multicollinearity🔬 ResearchAnalyzed: Jan 3, 2026 19:57
Robust Estimation for Multicollinearity in Fuzzy Logistic Regression
Published:Dec 27, 2025 08:11
•1 min read
•ArXiv
Analysis
This paper tackles a common problem in statistical modeling (multicollinearity) within the context of fuzzy logic, a less common but increasingly relevant area. The use of fuzzy numbers for both the response variable and parameters adds a layer of complexity. The paper's significance lies in proposing and evaluating several Liu-type estimators to mitigate the instability caused by multicollinearity in this specific fuzzy logistic regression setting. The application to real-world fuzzy data (kidney failure) further validates the practical relevance of the research.
Key Takeaways
Reference
“FLLTPE and FLLTE demonstrated superior performance compared to other estimators.”