ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION

Yıl 2025, Cilt: 10 Sayı: 1, 40 - 51, 27.03.2025

Onur İnan , Ali Özhan Akyüz

https://doi.org/10.57120/yalvac.1644658

Öz

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

Anahtar Kelimeler

Ultrasound, Polymer Degradation, Subtractive Fuzzy Clustering, Fuzzy Inference System, Fuzzy Modeling.

ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION

Öz

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.

Anahtar Kelimeler

Ultrasound, Polymer Degradation, Subtractive Fuzzy Clustering, Fuzzy Inference System, Fuzzy Modeling.

Kaynakça

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