A bi‐level neural‐based fuzzy classification approach for credit scoring problems

M Khashei, MT Rezvan, AZ Hamadani, M Bijari - Complexity, 2013 - Wiley Online Library
The credit scoring is a risk evaluation task considered as a critical decision for financial
institutions in order to avoid wrong decision that may result in huge amount of losses …

Credit risk evaluation using clustering based fuzzy classification method

F Baser, O Koc, AS Selcuk-Kestel - Expert Systems with Applications, 2023 - Elsevier
Credit scoring is a crucial indicator for banks to determine the financial position and the
eligibility of a client for credit. In order to assign statistical odds or probabilities to predict the …

Building contextual classifiers by integrating fuzzy rule based classification technique and k-nn method for credit scoring

A Laha - Advanced Engineering Informatics, 2007 - Elsevier
Credit-risk evaluation is a very challenging and important problem in the domain of financial
analysis. Many classification methods have been proposed in the literature to tackle this …

An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit …

S Akkoç - European Journal of Operational Research, 2012 - Elsevier
The number of Non-Performing Loans has increased in recent years, paralleling the current
financial crisis, thus increasing the importance of credit scoring models. This study proposes …

A fuzzy decision support system for credit scoring

J Ignatius, A Hatami-Marbini, A Rahman… - Neural Computing and …, 2018 - Springer
Credit score is a creditworthiness index, which enables the lender (bank and credit card
companies) to evaluate its own risk exposure toward a particular potential customer. There …

Identification of a standard AI based technique for credit risk analysis

M Punniyamoorthy, P Sridevi - Benchmarking: An International …, 2016 - emerald.com
Purpose–Credit risk assessment has gained importance in recent years due to global
financial crisis and credit crunch. Financial institutions therefore seek the support of credit …

A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company

DP Fonseca, PF Wanke, HL Correa - Applied Soft Computing, 2020 - Elsevier
This study explores and evaluates the use of soft computing systems for clients' credit risk
assessment in a Brazilian private credit card provider through the development of an …

Expert system design for credit risk evaluation using neuro‐fuzzy logic

DK Sreekantha, RV Kulkarni - Expert Systems, 2012 - Wiley Online Library
Over the past few years, the credit risk evaluation of micro‐, small‐and medium‐scale
enterprises by banks and financial institutions has been an active area of research under the …

A soft intelligent risk evaluation model for credit scoring classification

M Khashei, A Mirahmadi - International Journal of Financial Studies, 2015 - mdpi.com
Risk management is one of the most important branches of business and finance.
Classification models are the most popular and widely used analytical group of data mining …

Exploring the nature of credit scoring: A neuro fuzzy approach

S Akkoç - Fuzzy Economic Review, 2019 - search.proquest.com
Neural Network (NN) is one of the most commonly used method in credit scoring. On the
other hand Fuzzy Logic (FL) cannot be used alone in credit scoring due to lack of learning …