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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Modeling & Simulation of a Predictive Customer Churn Model for Telecommunication Industry

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Author Amoo A. O, Akinyemi B. O, Awoyelu I. O, Adagunodo E. R
ISSN 2079-8407
On Pages 630-641
Volume No. 6
Issue No. 11
Issue Date Decmeber 1, 2015
Publishing Date December 1, 2015
Keywords Churn, adaptive neuro-fuzzy inference system, fuzzy inference system, call detailed record


In this paper, a representation of the Adaptive Neuro Fuzzy Inference System – based prediction model for customer churn in telecommunication industry was emulated. Exhaustive search algorithm was employed for feature selection of the most significant variables influencing churn tendency. This was with a view to identifying the key performance indicators for churn tendency. Fuzzy rules were set up to represent the antecedents with their corresponding consequents. The Fuzzy Inference System (FIS) was then trained to fine-tune the parameters. The trained FIS was then simulated, validated and verified for churn tendency prediction using MATLAB programming language tools. The proposed model will help the telecommunications industry have advanced knowledge of their customer behavior better by identifying subscribers that are likely to churn at some later date in advance. This will help keep the bottom line of Telecommunications Company in a competitive environment.

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