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Ways of Classifying Banking Customers Using Fuzzy and Crisp Algorithms

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  • Jeflea Victor Florin

    (Faculty of Economics, Ovidius University of Constanta)

Abstract

Customer care management has developed, mainly in the last years. The present level was reached as a result of implementing new information technologies. One of the sectors subject to these changes is that of classifying customers. Classifying clients has a fundamental function in communication, campaign development, elaborating new products, awarding existent customers. Having a portfolio of information regarding the customer with sociodemographic data and a history of transactions about each client, companies and banks may develop a new design of transaction profiles. [6],[5].

Suggested Citation

  • Jeflea Victor Florin, 2013. "Ways of Classifying Banking Customers Using Fuzzy and Crisp Algorithms," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 529-533, May.
    • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:1:p:529-533
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    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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