Revenue Evaluation Based on Rough Set Reasoning

  • Khu Phi Nguyen
  • Sy Tien Bui
  • Hong Tuyet Tu
Part of the Studies in Computational Intelligence book series (SCI, volume 551)


Budget revenue evaluation is an important issue in planing economic policies, especially in making profit by financial investment. It is dealt with this paper, a method of rating turnover efficiency using the methodology of rough set-a technique for data mining, and information entropy- a measurement of the average amount of information contained in an information system. The proposed method, firstly reduces superfluous data sources, and then extracts important decision rules from data set. By using this method, organizations of economic management and corporations management can evaluate of economic policies, business strategies and determine what revenue sources are efficient and need be invested. Through testing of collected dataset, it is shown that the proposed method is feasible and need be developed in practice.


Rough set information entropy mutual information decision rules ACO algorithm financial evaluation 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Khu Phi Nguyen
    • 1
  • Sy Tien Bui
    • 1
  • Hong Tuyet Tu
    • 2
  1. 1.University of Information Technology, Vietnam National University-HCMCHo Chi MinhVietnam
  2. 2.University of Technical Education-HCMCHCM CityVietnam

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