A credit rating model of microfinance based on fuzzy cluster analysis and fuzzy pattern recognition: Empirical evidence from Chinese 2,157 small private businesses

Author:

Shi Baofeng1,Chen Nan2,Wang Jing1

Affiliation:

1. College of Economics & Management, Northwest A & F University, Yangling, Shaanxi, China

2. UNSW Business School, The University of New South Wales, Sydney, New South Wales, Australia

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference21 articles.

1. Credit scoring models for the microfinance industry using neural networks: Evidence from Peru;Blancoa;Expert Systems with Applications,2013

2. Rencher A.C. and Schaalje G.B. , Linear Models in Statistics, John Wiley & Sons, Hoboken, NJ, USA 2008.

3. A credit risk evaluation index screening model of petty loans for small private business and its application;Shi;Advances in information Sciences and Service Sciences,2013

4. City green economy evaluation: Empirical evidence from 15 sub-provincial cities in China;Shi;Sustainability,2016

5. A novel imbalanced data classification approach based on Logistic regression and Fisher discriminant;Shi;Mathematical Problems in Engineering,2015

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