Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 18)
Article Information:

Entropy-Based Credit Evaluation for Mobile Telephone Customers

Yang Zong-Chang and Kuang Hong
Corresponding Author:  Yang Zong-Chang 

Key words:  Arrearage, credit evaluation, customer information entropy, entropy, mobile communications, ,
Vol. 6 , (18): 3447-3450
Submitted Accepted Published
January 22, 2013 February 22, 2013 October 10, 2013
Abstract:

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 customerís 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.
Abstract PDF HTML
  Cite this Reference:
Yang Zong-Chang and Kuang Hong, 2013. Entropy-Based Credit Evaluation for Mobile Telephone Customers.  Research Journal of Applied Sciences, Engineering and Technology, 6(18): 3447-3450.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved