Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C

P Kumar Roy, K Shaw, A Ishizaka - Annals of Operations Research, 2023 - Springer
Financial institutions employ credit rating systems to classify new borrowers, set loan terms,
and determine collateral requirements. Small and medium-sized businesses (SMEs) are …

An integrated fuzzy credit rating model using fuzzy-BWM and new fuzzy-TOPSIS-Sort-C

PK Roy, K Shaw - Complex & Intelligent Systems, 2023 - Springer
Financial institutions use credit rating models to make lending, investing, and risk
management decisions. Credit rating models have been developed using a variety of …

A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS

PK Roy, K Shaw - Financial Innovation, 2021 - Springer
Small-and medium-sized enterprises (SMEs) have a crucial influence on the economic
development of every nation, but access to formal finance remains a barrier. Similarly …

Assessing and predicting small industrial enterprises' credit ratings: A fuzzy decision-making approach

Y Sun, N Chai, Y Dong, B Shi - International Journal of Forecasting, 2022 - Elsevier
Corporate credit-rating assessment plays a crucial role in helping financial institutions make
their lending decisions and in reducing the financial constraints of small enterprises. This …

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 …

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 …

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 …

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 …

A comprehensive decision support approach for credit scoring

C Luo - Industrial Management & Data Systems, 2020 - emerald.com
Purpose The purpose of this paper is to provide a comprehensive decision support
approach in credit risk assessment. Design/methodology/approach A comprehensive …

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 …