ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION

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.

Keywords

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

ROBUST FUZZY MODELS FOR ULTRASONIC POLYMER DEGRADATION

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

Keywords

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

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