%0 Journal Article
	%A Chien-Hua Wang and  Meng-Ying Chou and  Chin-Tzong Pang
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 65, 2012
	%T The Research of Fuzzy Classification Rules Applied to CRM
	%U https://publications.waset.org/pdf/2320
	%V 65
	%X In the era of great competition, understanding and satisfying
customers- requirements are the critical tasks for a company
to make a profits. Customer relationship management (CRM) thus
becomes an important business issue at present. With the help of
the data mining techniques, the manager can explore and analyze
from a large quantity of data to discover meaningful patterns and
rules. Among all methods, well-known association rule is most
commonly seen. This paper is based on Apriori algorithm and uses
genetic algorithms combining a data mining method to discover fuzzy
classification rules. The mined results can be applied in CRM to
help decision marker make correct business decisions for marketing
strategies.
	%P 580 - 585