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Title: Extraction offuzzyrulesbased ondeterministic data (with Case Study: Banks customer srating)

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Title:
Extraction offuzzyrulesbased ondeterministic data (with Case Study: Banks customer srating)
Author Name:
Ramin Sadeghian , Behnam Gholamaliei , Leila Payandeh Peyman
Abstract:
Financial institutionsandbanks are thetype oforganizations where customer rating can be veryvaluablefor both customersandbanks. As a case study to illustrate this, the fuzzyrulesextraction method, deterministic data clusteringtechniques and real data of bank clientele are used to rate these customers. For thispurpose,twoalgorithmsarepresentedand compared. The algorithms mentioned use a data clustering method in order todetermineaspecified patternfor 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 isdescribedinacase study.
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