Abstract Financial institutions use credit rating models to make lending, investing, and risk management decisions. Credit have been developed using a variety of statistical machine learning methods. These methods, however, are data-intensive dependent on assumptions about data distribution. This research offers an integrated fuzzy model address such issues. study proposes reduce problems. The ...