Ways of Classifying Banking Customers Using Fuzzy and Crisp Algorithms

Jeflea Victor Florin ()
Additional contact information
Jeflea Victor Florin: Faculty of Economics, Ovidius University of Constanta

Ovidius University Annals, Economic Sciences Series, 2013, vol. XIII, issue 1, 529-533

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].

Keywords: customers; fuzzy classifying; crisp classifyng (search for similar items in EconPapers)
JEL-codes: D80 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://stec.univ-ovidius.ro/html/anale/ENG/cuprins%20rezumate/volum2013p1.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xii:y:2012:i:1:p:529-533

Access Statistics for this article

Ovidius University Annals, Economic Sciences Series is currently edited by Spatariu Cerasela

More articles in Ovidius University Annals, Economic Sciences Series from Ovidius University of Constantza, Faculty of Economic Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Gheorghiu Gabriela ().