Comparative Study of Gaussian and Z-shaped curve membership function for Fuzzy Classification Approach

Customer Retention is a major aspect of the growth of any business. It is always good to retain those customers who are more loyal or can be converted to be loyal. In this paper, a fuzzy decision tree based approach is proposed in combination with Z-shaped curved membership function to find the customer loyalty and has been compared with the approach of fuzzy decision tree with Gaussian membership function. As a result, it has been found that Z-shaped membership function gives 71% accuracy whereas with Gaussian membership function it gives 63.7% accuracy. Keywords— Customer Loyalty, Customer Relationship Management, Membership functions, Decision Tree, Fuzzy Decision Tree.