Return
Fuzzy Rules with Quantifiers as Weights
DOI:10.1016/j.ijar.2025.109600.png)
Abstract
En 中文
• We introduce a new, simple GUHA quantifier and provide an original construction of double and equivalence quantifiers. • We embed tailored GUHA quantifiers into a novel model of weighted fuzzy rules. • We model functional dependencies using interpretable implicational rules. • We design an ASSOC-based classification framework with implicational rule models. • Our approach enhances explainability while maintaining strong predictive granularity.
Journal
IF:
3
Papers:
3.0K
Citations:
5.1K
Organization
Cited Papers
No cited papers available

