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Proceedings of

International Conference on Advances in Computer, Electronics and Electrical Engineering CEEE 2013

"A NOVEL APPROACH FOR DYNAMIC CLASSIFICATION IN CRM USING FUZZY LOGIC"

EKTA PATEL FALGUNI SONI KHUSHBU TAPIAWALA RUTVIJ JHAVERI
DOI
10.15224/978-981-07-6260-5-24
Pages
111 - 115
Authors
4
ISBN
978-981-07-6260-5

Abstract: “Customer Relationship Management (CRM) analyzes, classifies, examines and manages customer\'s needs according to their interest. In this paper, we propose an algorithm for grouping customers using fuzzy logic. The term fuzzy means not clear or blurred and fuzzy logic means representing variation or imprecision in logic. We use fuzzy logic, and not other mining and statistical methods, to dynamically classify the customers. As a result, we dynamically classify customers into more than one groups at the same time. The algorithm calculates the customer\'s chance of belonging to a particular group on the basis of probabilities without using any prior information. Fixed number of groups is not given as input because groups are dynamically generated according to the requirement”

Keywords: Customer Relationship Management, fuzzy logic, probability, dynamic classification.

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