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Abstract
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Article Information:
Entropy-Based Credit Evaluation for Mobile Telephone Customers
Yang Zong-Chang and Kuang Hong
Corresponding Author: Yang Zong-Chang
Submitted: January 22, 2013
Accepted: February 22, 2013
Published: October 10, 2013 |
Abstract:
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The arrears problem puzzled most mobile communication corporations in China. In information theory, the Shannon entropy is a measure of the uncertainty in a signal or random event. Motivated by entropy theory especially the Shannon Entropy, in this study, one called customer information entropy is defined and proposed to credit evaluation for arrearage customers of cellular telephone. The proposed customer information entropy is based on customer’s behavior attributes. Arrearage customers often include malevolent ones and non-malevolent ones. 52364 arrearage customers among a total number of 400000 ones in a mobile communication corporation are chosen for experiment. The proposed measure yields good results in its application of credit evaluation for 52364 arrearage customers in August and September. Its correct evaluation rates for malevolent and non-malevolent of the 52364 arrearage ones both are over 90.0%: among the 52364 arrearage customers, 90.75% of the non-malevolent ones, whose entropy changes is less than zero, while for the entropy changes of the malevolent ones, 95.36% is equal to zero and 1.57% is more than zero. The experimental results indicate that the entropy changes of the non-malevolent ones could be considered as negative and nonnegative for the malevolent ones. The proposed show its potential practicality.
Key words: Arrearage, credit evaluation, customer information entropy, entropy, mobile communications, ,
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Cite this Reference:
Yang Zong-Chang and Kuang Hong, . Entropy-Based Credit Evaluation for Mobile Telephone Customers. Research Journal of Applied Sciences, Engineering and Technology, (18): 3447-3450.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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