Credit Risk Prediction Using Fuzzy Immune Learning
The use of credit has grown considerably in recent years. Banks and financial institutions confront credit risks to conduct their business. Good management of these risks is a key factor to increase profitability. Therefore, every bank needs to predict the credit risks of its customers. Credit risk...
Saved in:
Main Authors: | Ehsan Kamalloo, Mohammad Saniee Abadeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Advances in Fuzzy Systems |
Online Access: | http://dx.doi.org/10.1155/2014/651324 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process
by: Arash Rasaizadi, et al.
Published: (2021-01-01) -
HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery
by: D. Jalal Nouri, et al.
Published: (2014-01-01) -
Credit risk prediction with corruption perception index: machine learning approaches
by: Cuong Nguyen Thanh, et al.
Published: (2025-12-01) -
Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier
by: Lean Yu
Published: (2014-01-01) -
Credit card default prediction using ML and DL techniques
by: Fazal Wahab, et al.
Published: (2024-01-01)