A Hybrid Fuzzy Logic and Deep Learning Method for Fraud Detection: Application to Credit Cards

The credit card has become an essential part of business operations, both nationally and globally. It plays a very important role in today's economy. While the use cards offers considerable benefits when used responsibly with care, financial damage can be caused by fraudulent default. Many techniques have been proposed to combat growth defaults. However, all these same goal preventing defaults; each its own characteristics, advantages, disadvantages. In this paper, we applied two data mining techniques: Artificial Neural Networks Fuzzy C-Means problem, propose hybridization between models also, show significant results three methods on real data. Therefore, out used, good performances are obtained using our hybrid model fraud detection.