A master's thesis at the College of Computer Science and Information Technology at the University of Basrah explored facial emotion analysis using convolutional neural networks and fuzzy systems. The thesis, presented by Ahmed Rajab Kadhim, a student in the Department of Computer Science, aims to present an approach that integrates fuzzy logic systems (FLS) with CNNs, with the aim of improving their effectiveness in a wide range of tasks. The method leverages fuzzy inference mechanisms within a CNN framework to enhance adaptability, interpretability, and decision-making, leading to improved performance and accuracy. The proposed hybrid CNN-FLS model is evaluated on several benchmark datasets and compared to existing techniques. The thesis incorporates fuzzy logic systems by developing a model that incorporates fuzzy rules to handle uncertainty in feature extraction and classification, enhancing robustness and flexibility.

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