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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Liao, Q., Gu, H., Hao, Z., & Tang, Z. (2005). Fuzzy comprehensive evaluation of e-commerce and process improvement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3828 LNCS, pp. 366–374). https://doi.org/10.1007/11600930_36
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