Browsing by Author "Karn, Arodh Lal"
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Item Fuzzy and SVM Based Classification Model to Classify Spectral Objects in Sloan Digital Sky(Institute of Electrical and Electronics Engineers Inc., 2022) Karn, Arodh Lal; Tavera Romero, Carlos Andres; Sengan, Sudhakar; Mehbodniya, Abolfazl; Webber, Julian L.; Pustokhin, Denis A.; Wende, Frank-DetlefThe Sloan Digital Sky Survey (SDSS) comprises about one billion objects classified spectrometrically. Because astronomical datasets are so enormous, manually classifying them is nearly impossible - a huge dataset results in class imbalance and overfitting. We recommend a framework in this research study that overcomes these constraints. The framework uses a hybrid Synthetic Minority Oversampling Technique + Edited Nearest Neighbor (SMOTE + ENN) balancer. The balanced dataset is then used to extract features via a non-linear algorithm using Kernel Principal Component Analysis (KPCA). The features are then passed into the proposed Int-T2-Fuzzy Support Vector Machine classifier, which uses a modified type reducer and inference engine to achieve more precise categorization. Using the Sloan Digital Sky Survey dataset and a number of evaluation metrics, the SMOTE+ENN model's performance is measured. The research shows that the model does a good job.