Optimizing Fully Fuzzy Linear Systems Using the Average Uniform Algorithm: A Fuzzy Data Modeling Approach

This paper presents an Enhanced Average Uniform Algorithm (E-AUA) for solving Fully Fuzzy Matrix Equations (FFME), addressing critical limitations in existing fuzzy optimization methods. Our approach combines sophisticated dual exploration-exploitation mechanisms with adaptive parameter management a...

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Bibliografische Detailangaben

Hauptverfasser:	Azmi Alazzam, Ghassan Malkawi, Ahmed Abdelaziz Elsayed, Asem Omari, Said Badreddine
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Average uniform algorithm fuzzy data modeling fully fuzzy linear system least square error optimization meta-heuristic algorithms convergence analysis
Online-Zugang:	https://ieeexplore.ieee.org/document/11370847/
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