Building an Intelligent Comprehensive Scoring Model Based on Fuzzy Technologies
- Resource Type
- Conference
- Authors
- Nazarov, Dmitrii; Efremov, Sergey
- Source
- 2019 IEEE 21st Conference on Business Informatics (CBI) CBI Business Informatics (CBI), 2019 IEEE 21st Conference on. 02:16-19 Jul, 2019
- Subject
- Computing and Processing
Predictive models
Data models
Analytical models
Banking
Portals
Buildings
Portfolios
scoring model, borrower default, predictors, causality, fuzzy implication
- Language
- ISSN
- 2378-1971
The article is devoted to the analysis of scoring models used in one of the Russian commercial banks. The purpose of the article is to build a comprehensive scoring model that takes into account various groups of additional variables that increase the accuracy of the model and reduce the default percentage of borrowers. To construct such a model, it is proposed to use fuzzy control technologies, as one of the methods of data mining.