@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 strategies.}, 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}, }