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About Credit Assessment of Bank Customers by A Fuzzy Exp
This document discusses using association rules extracted from data to build a fuzzy expert system for credit assessment of bank customers. Association rules are generated using the APRIORI algorithm and CRISP-DM methodology. Experts then filter the rules and define membership functions for criteria. A fuzzy expert system is designed based on selected rules to specify customers' credit degrees. The presented approach considers both data-oriented and knowledge-oriented methods by incorporating association rules and experts' opinions. It was studied on an Iranian bank as an empirical case study.
Detailed Information
| Author: | ['Trần Nga'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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