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Journals / Yalvaç Akademi Dergisi / 2025 / Cilt: 10 Sayı: 1

ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION

Onur İnan(BURDUR MEHMET AKİF ERSOY UNIVERSITY)0000-0002-9683-344X
Ali Özhan Akyüz(BURDUR MEHMET AKİF ERSOY UNIVERSITY)0000-0001-9265-7293
Pages
40–51
Publication Date
2025-03-27
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The designed fuzzy models have high accuracy and clearly express ultrasonic degradation behavior

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Fuzzy Logic Models are practical solutions to reach a definite conclusion in data sets with uncertain, complicated, and incomplete input data.
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Key Findings & Data:Owing to these models, achieving the desired outputs with very low error in large data sets obtained theoretically or experimentally is possible.
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Conclusion & Impact:The designed fuzzy models have high accuracy and clearly express ultrasonic degradation behavior
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Ultrasound · Polymer Degradation · Subtractive Fuzzy Clustering

Abstract

Fuzzy Logic Models are practical solutions to reach a definite conclusion in data sets with uncertain, complicated, and incomplete input data. Owing to these models, achieving the desired outputs with very low error in large data sets obtained theoretically or experimentally is possible. In this study, a subtractive clustering based fuzzy model approach has been presented to analyze the ultrasonic polymer degradation. Fuzzy models include obtaining cluster centers from the data set, preparing a fuzzy rule-based linear equation system, and optimizing parameters for the least error. The designed fuzzy models have high accuracy and clearly express ultrasonic degradation behavior

Özet

Fuzzy Logic Models are practical solutions to reach a definite conclusion in data sets with uncertain, complicated, and incomplete input data. Owing to these models, achieving the desired outputs with very low error in large data sets obtained theoretically or experimentally is possible. In this study, a subtractive clustering based fuzzy model approach has been presented to analyze the ultrasonic polymer degradation. Fuzzy models include obtaining cluster centers from the data set, preparing a fuzzy rule-based linear equation system, and optimizing parameters for the least error. The designed fuzzy models have high accuracy and clearly express ultrasonic degradation behavior.

🔖

Cite This Article

İnan, O., Akyüz, A. Ö., *, O. İ. (2025). ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION. Yalvaç Akademi Dergisi, Cilt: 10 Sayı: 1, 40–51. https://doi.org/10.57120/yalvac.1644658

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