@article{(Open Science Index):https://publications.waset.org/pdf/2320,
	  title     = {The Research of Fuzzy Classification Rules Applied to CRM},
	  author    = {Chien-Hua Wang and  Meng-Ying Chou and  Chin-Tzong Pang},
	  country	= {},
	  institution	= {},
	  abstract     = {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
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {5},
	  year      = {2012},
	  pages     = {580 - 585},
	  ee        = {https://publications.waset.org/pdf/2320},
	  url   	= {https://publications.waset.org/vol/65},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 65, 2012},