@article{article_1239769, title={A Novel Membership Function Definition for Fuzzy Classification}, journal={Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi}, volume={28}, pages={404–411}, year={2023}, DOI={10.53433/yyufbed.1239769}, author={Uylaş Satı, Nur}, keywords={Bulanık Sınıflandırma, Çok Yüzlü Konik Fonksiyonlar, Matematiksel Optimizasyon, Üyelik Fonksiyonu, Veri Madenciliği}, abstract={In this paper, a novel membership function is defined for fuzzy sets using a supervised learning approach. Firstly, the training dataset is separated using the previously defined polyhedral conic functions in a supervised learning approach. Then obtained polyhedral conic functions are used for defining a new membership function. After that, a new fuzzy classification algorithm is formed to classify fuzzy sets with a similar structure. The algorithm with all suggested methods is implemented on real-world datasets, and the performance values are compared with the state of art classification algorithms.}, number={2}, publisher={Van Yüzüncü Yıl Üniversitesi}