An integrated fuzzy credit rating model using fuzzy-BWM and new fuzzy-TOPSIS-Sort-C
Abstract Financial institutions use credit rating models to make lending, investing, and risk management decisions. Credit rating models have been developed using a variety of statistical and machine learning methods. These methods, however, are data-intensive and dependent on assumptions about data...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-08-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00823-5 |