Need someone to explain the equations used in the attached paper for fuzzy smote and write code (python) for one dataset named credit card fraud detection. The code is to generate Tables 8 and 9 (comparing with naive Bayes and SVM).
I already have the code for smote and borderline smote (using predefined in sklearn) for the above-mentioned dataset. attached notepad copy of SMOTE and borderline-SMOTE for your reference.
Dataset can be found in [login to view URL]