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Finance, Development and Trade in Emerging Economies

A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China

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References

  • Akkoç, S. 2012. An empirical comparison of conventional techniques, neural networks and the three-stage hybrid adaptive neuro fuzzy inference system (ANFIS) model for credit scoring analysis: The case of turkish credit card data. European Journal of Operational Research 222 (1):168–78. doi:10.1016/j.ejor.2012.04.009.
  • Ala’Raj, M., and M. F. Abbod. 2016. A new hybrid ensemble credit scoring model based on classifiers consensus system approach. Expert Systems with Applications 64:36–55. doi:10.1016/j.eswa.2016.07.017.
  • Altman, E. I. 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance 23 (4):589–609. doi:10.1111/j.1540-6261.1968.tb00843.x.
  • Altman, E. I., R. Haldeman, and P. Narayanan. 1977. ZETA analysis: A new model to identify bankruptcy risk of corporations. Journal of Banking and Finance 1:29–54. doi:10.1016/0378-4266(77)90017-6.
  • Bahnsen, A. C., D. Aouada, and B. Ottersten. 2015. Example-dependent cost-sensitive decision trees. Expert Systems with Applications 42 (19):6609–19. doi:10.1016/j.eswa.2015.04.042.
  • Bai, C. G., B. F. Shi, F. Liu, and J. Sarkis. 2019. Banking credit worthiness: Evaluating the complex relationships. Omega 83:26–38. doi:10.1016/j.omega.2018.02.001.
  • Bank of Dalian. 2014. Dalian bank small business credit system. Dalian, China: Dalian Bank.
  • Cheng, J., Y. Feng, J. Tan, and W. Wei. 2008. Optimization of injection mold based on fuzzy moldability evaluation. Journal of Materials Processing Technology 208 (1):222–28. doi:10.1016/j.jmatprotec.2007.12.114.
  • Chi, G. T., and Z. Zhang. 2017. Multi criteria credit rating model for small enterprise using a nonparametric method. Sustainability 9 (10):1–23. doi:10.3390/su9101834.
  • China Banking Regulatory Commission (CBRC). 2015. Supervision by Law, supervision of the people, risk supervision: The china banking regulatory commission implements the reform of the regulatory framework. Accessed May 17, 2018. http://www.cbrc.gov.cn/chinese/home/docView/67163D0D8293499BA499D2A9705C61CD.html.
  • China Report Hall. 2017. 2017–2022 China Enterprise Management Project Industry Market In-depth Research and Investment Strategy Research Analysis Report. China Report Hall.
  • Ciampi, F., and N. Gordini. 2013. Small enterprise default prediction modeling through artificial neural networks: An empirical analysis of italian small enterprises. Journal of Small Business Management 51 (1):23–45. doi:10.1111/jsbm.2013.51.issue-1.
  • Dagong Global Credit Rating Co. 2010. Credit rating methodology framework of dagong global credit rating Co., Ltd. Beijing, China: Dagong Global Credit Rating Co.
  • Demircan, S., and H. Kahramanli. 2016. Application of fuzzy c-means clustering algorithm to spectral features for emotion classification from speech. Neural Computing & Applications 29 (8):1–8.
  • Florez-Lopez, R. 2007. Modelling of insurers’ rating determinants: An application of machine learning techniques and statistical models. European Journal of Operational Research 183 (3):1488–512. doi:10.1016/j.ejor.2006.09.103.
  • Florez-Lopez, R., and J. M. Ramon-Jeronimo. 2015. Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment: A correlated-adjusted decision forest proposal. Expert Systems with Applications 42 (13):5737–53. doi:10.1016/j.eswa.2015.02.042.
  • Gu, W., B. Meheli, C. Zhang, and R. W. Li. 2017. A Unified Framework for credit evaluation for internet finance companies: Multi-criteria analysis through AHP and DEA. International Journal of Information Technology & Decision Making 3 (3):597–624. doi:10.1142/S0219622017500134.
  • Hai, L., B. F. Shi, and G. Peng. 2013. A credit risk evaluation index system establishment of petty loans for farmers based on correlation analysis and significant discriminant. Journal of Software 8 (9):2344–51. doi:10.4304/jsw.8.9.2344-2351.
  • Harris, T. 2015. Credit scoring using the clustered support vector machine. Expert Systems with Applications 42 (2):741–50. doi:10.1016/j.eswa.2014.08.029.
  • Hens, A. B., and M. K. Tiwari. 2012. Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method. Expert Systems with Applications 39 (8):6774–81. doi:10.1016/j.eswa.2011.12.057.
  • İç, Y. T., and M. Yurdakul. 2010. Development of a quick credibility scoring decision support system using fuzzy TOPSIS. Expert Systems with Applications 37 (1):567–74. doi:10.1016/j.eswa.2009.05.038.
  • Industrial and Commercial Bank of China. 2005. Notice on printing and distributing the measures for the evaluation of credit ratings of small business enterprises of small industrial enterprises of industrial and commercial bank of China. Beijing, China: Industrial and Commercial Bank of China, no. 78.
  • Khalili-Damghani, K., S. Sadi-Nezhad, F. H. Lotfi, and M. Tavana. 2013. A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Information Sciences 220 (1):442–62. doi:10.1016/j.ins.2012.07.024.
  • Liang, X. C., S. F. Chen, and Liu-Yan. 2007. The study of small enterprises credit evaluation based on incremental antClust. In IEEE International Conference on Grey Systems and Intelligent Services (pp. 294–98). Nanjing, China: IEEE Xplore.
  • Marcano-Cedeño, A., A. Marin-De-La-Barcena, J. Jimenez-Trillo, J. A. Piñuela, and D. Andina. 2011. Artificial metaplasticity neural network applied to credit scoring. International Journal of Neural Systems 21 (4):311–17. doi:10.1142/S0129065711002857.
  • Mijid, N., and A. Bernasek. 2013. Gender and the credit rationing of small businesses. The Social Science Journal 50 (1):55–65. doi:10.1016/j.soscij.2012.09.002.
  • Nami, S., and M. Shajari. 2018. Cost-sensitive payment card fraud detection based on dynamic random forest and k-nearest neighbors. Expert Systems with Applications 110:381–92. doi:10.1016/j.eswa.2018.06.011.
  • Promentilla, M. A., T. Furuichi, K. Ishii, and N. Tanikawa. 2008. A fuzzy analytic network process for multi-criteria evaluation of contaminated site remedial countermeasures. Journal of Environmental Management 88 (3):479–95. doi:10.1016/j.jenvman.2007.03.013.
  • Ratings, F. 2013. Fitch ratings global corporate finance 2012 transition and default study. Fitch Ratings: Credit Market Research.
  • Reichert, A., C.-C. Cho, and G. Wagner. 1983. An examination of the conceptual issues involved in developing credit-scoring models. Journal of Business & Economic Statistics 1 (2):101–14.
  • Robillard, M. P., W. Maalej, R. J. Walker, and T. Zimmermann. 2014. An approach on fault detection in diesel engine by using symmetrical polar coordinates and image recognition. Advances in Mechanical Engineering 2014 (4):1–9.
  • Ruan, J. H., Y. Wang, F. T. S. Chan, X. Hu, M. Zhao, F. Zhu, B. F. Shi, Y. Shi, and F. Lin 2018. A life-cycle framework of green iot based agriculture and its finance, operation and management issues. IEEE Communications Magazine, doi:10.1109/MCOM.2018.1800332
  • Rui, L., and R. V. Mendes. 2017. Detecting and quantifying ambiguity: A neural network approach. Soft Computing 22 (8):1–9.
  • Shi, B. F., N. Chen, and J. Wang. 2016. A credit rating model of microfinance based on fuzzy cluster analysis and fuzzy pattern recognition: empirical evidence from chinese 2,157 small private businesses. Journal of Intelligent & Fuzzy Systems 31 (6):3095–102. doi:10.3233/JIFS-169195.
  • Shi, B. F., and G. T. Chi. 2014. A model for recognizing key factors and applications thereof to engineering. Mathematical Problems in Engineering 2014 (1):368–81. doi:10.1155/2014/862132.
  • Shi, B. F., B. Meng, H. F. Yang, J. Wang, and W. L. Shi. 2018. A novel approach for reducing attributes and its application to small enterprise financing ability evaluation. Complexity, 1–17. Article ID 1032643. doi:10.1155/2018/1032643.
  • Shi, B. F., J. Wang, J. Qi, and Y. Cheng. 2015. A novel imbalanced data classification approach based on logistic regression and fisher discriminant. Mathematical Problems in Engineering 2015 (6):1–12.
  • Sobehart, J., and S. Keenan. 2001. Measuring Default Accurately. Risk 14(3):31–33.
  • Standard & Poor’s Ratings Services. 2011. S&P’s study of china’s top corporates highlights their significant financial risks. New York: Standard & Poor’s.
  • State Council of the People’s Republic of China (SCPRC). 2016 Notice of the state council on printing and promoting inclusive financial development plan (2016–2020). Accessed May 17, 2018. http://www.gov.cn/zhengce/Content/2016–01/15/content_10602.htm.
  • State Council of the People’s Republic of China (SCPRC). 2017. Notice of the general office of the state council on the establishment of the “Made in China 2025” National Demonstration Zone. Accessed May 17, 2018. http://www.gov.cn/zhengce/content/201711/23/content_5241727.htm.
  • Tao, Y., Y. Zhang, and Q. Wang. 2018. Fuzzy C-mean clustering-based decomposition with ga optimizer for FSM synthesis targeting to low power. Engineering Applications of Artificial Intelligence 68::40–52. doi:10.1016/j.engappai.2017.10.022.
  • Tomczak, J. M., and M. Zięba. 2015. Classification restricted boltzmann machine for comprehensible credit scoring model. Expert Systems with Applications 42 (4):1789–96. doi:10.1016/j.eswa.2014.10.016.
  • Wang, J., D. Ding, O. Liu, and M. Li. 2016. A synthetic method for knowledge management performance evaluation based on triangular fuzzy number and group support systems. Applied Soft Computing 39:11–20. doi:10.1016/j.asoc.2015.09.041.
  • Wu, Z., J. Ahmad, and J. Xu. 2016. A group decision making framework based on fuzzy VIKOR approach for machine tool selection with linguistic information. Applied Soft Computing 42:314–24. doi:10.1016/j.asoc.2016.02.007.
  • Yu, F., H. Xu, L. Wang, and X. Zhou. 2010. An improved automatic FCM clustering algorithm. International Workshop on Database Technology and Applications, 1–4. IEEE. doi:10.1109/DBTA.2010.5659043.
  • Yurdakul, M., and Y. T. Iç. 2005. Development of a performance measurement model for manufacturing companies using the AHP and TOPSIS approaches. International Journal of Production Research 43 (21):4609–41. doi:10.1080/00207540500161746.
  • Zhang, J. H., H. Y. Liu, R. Zhu, and Y. Liu. 2017. Emergency evacuation of hazardous chemical accidents based on diffusion simulation. Complexity 2017:1–16.
  • Zhong, Y., L. Zhang, S. Xing, F. Li, and B. Wan. 2014. The big data processing algorithm for water environment monitoring of the three gorges reservoir area. Abstract and Applied Analysis 2014 (5):1–7.
  • Zhu, P., and Q. Hu. 2013. Rule extraction from support vector machines based on consistent region covering reduction. Knowledge-Based Systems 42 (2):1–8. doi:10.1016/j.knosys.2012.12.003.

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