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The document presents a novel Intelligent Decision Support System for Financial Fraud Detection (IDSSFFD-PNBM) that utilizes Pythagorean Neutrosophic Bonferroni Mean and machine learning models to enhance fraud detection efficiency. It incorporates z-score normalization and a grasshopper optimization algorithm for feature selection, along with a firefly optimization algorithm for hyperparameter tuning. Experimental results demonstrate that the IDSSFFD-PNBM technique outperforms existing methods in detecting

Author

1ali00000312

Language

EN