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Fuzzy Comprehensive Evaluation of E-commerce and Process Improvement

  • Qin Liao
  • Huimin Gu
  • Zhifeng Hao
  • Zhonghua Tang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3828)

Abstract

This paper presents an evaluation-factor system of electronic commerce (e-commerce) and provides a fuzzy comprehensive evaluation method to analyze and estimate the development of enterprise e-commerce. Besides, an optimized fuzzy evaluation model utilizing the genetic algorithm is applied to improve the process of the evaluation. Based on a recent survey on e-commerce of some enterprises in Guangzhou, the evaluation results show that the evaluation-factor system is reasonable; the fuzzy comprehensive evaluation model is effective and the optimized fuzzy comprehensive evaluation method makes the evaluation more accurate.

Keywords

Fuzzy Evaluation Standard Genetic Algorithm Fuzzy Comprehensive Evaluation Comprehensive Evaluation Method Hotel Group 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Qin Liao
    • 1
  • Huimin Gu
    • 1
  • Zhifeng Hao
    • 1
  • Zhonghua Tang
    • 1
  1. 1.School of Mathematical SciencesSouth China University of TechnologyGuangzhouP.R.China

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