TY - JOUR T1 - ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION TT - ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION AU - İnan, Onur AU - Akyüz, Ali Özhan PY - 2025 DA - March Y2 - 2025 DO - 10.57120/yalvac.1644658 JF - Yalvaç Akademi Dergisi JO - YADE PB - Isparta Uygulamalı Bilimler Üniversitesi WT - DergiPark SN - 2548-0820 SP - 40 EP - 51 VL - 10 IS - 1 LA - en AB - 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 KW - Ultrasound KW - Polymer Degradation KW - Subtractive Fuzzy Clustering KW - Fuzzy Inference System KW - Fuzzy Modeling. N2 - 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. CR - 1. Mason T.J. (1996). 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