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Title: Extraction of fuzzy rules based on deterministic data (with Case Study: Banks customers rating)

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Title:
Extraction of fuzzy rules based on deterministic data (with Case Study: Banks customers rating)
Author Name:
Ramin Sadeghian , Behnam Gholamaliei , Leila Payandeh Peyman
Abstract:
Financial institutions and banks are the type of organizations where customer rating can be very valuable for both customers and banks. As a case study to illustrate this, the fuzzy rules extraction method, deterministic data clustering techniques and real data of bank clientele are used to rate these customers. For this purpose, two algorithms are presented and compared. The algorithms mentioned use a data clustering method in order to determine a specified pattern for customer rating. In the first algorithm a statistical method is proposed. In the second algorithm a heuristic approach is proposed. Additionally, how the algorithms were implemented is described in a case study.
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