DocumentCode :
2918972
Title :
A Hierarchical Fuzzy Classification of Online Customers
Author :
Werro, Nicolas ; Stormer, Henrik ; Meier, Andreas
Author_Institution :
Dept. of Informatics, Fribourg Univ.
fYear :
2006
fDate :
Oct. 2006
Firstpage :
256
Lastpage :
263
Abstract :
A key challenge for companies in the e-business era is to manage customer relationships as an asset. In today´s global economy this task is getting, at the same time, more difficult and more important. In order to retain the potentially good customers and to improve their buying attitude this paper proposes a hierarchical fuzzy classification of online customers. A fuzzy classification, which is a combination of relational databases and fuzzy logic, allows customers to be classified in several classes at the same time and can therefore precisely determine the customers´ value for an enterprise. This approach allows companies to improve the customer equity, to launch loyalty programs, to automate mass customization and to refine marketing campaigns in order to maximize the customers´ value and, this way, the companies´ profit
Keywords :
customer relationship management; electronic commerce; fuzzy logic; fuzzy set theory; pattern classification; relational databases; company profit; customer equity; customer relationship management; e-business; fuzzy logic; global economy; hierarchical fuzzy classification; loyalty program; marketing campaign; mass customization; online customer; relational database; Asset management; Companies; Customer relationship management; Data mining; Database languages; Fuzzy logic; Humans; Informatics; Mass customization; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering, 2006. ICEBE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7695-2645-4
Type :
conf
DOI :
10.1109/ICEBE.2006.4
Filename :
4031659
Link To Document :
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