Research on the Comprehensive Evaluation of Business Intelligence System Based on BP Neural Network

Su-Li Yan, Ying Wang, Ji-Cheng Liu
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引用次数: 18

Abstract

In this paper, the current situation of comprehensive evaluation of business intelligence system (BIS) is analyzed, and the objectives and principles of establishing the evaluation system are elaborated. The evaluation index system of BIS is structured, and the Analytical Hierarchy Process (AHP) technique is used to confirm the index weights, and the fuzzy TOPSIS is selected to determine the synthetically scores of different companies’ BIS. Then how to use BP neural network to evaluate BIS is discussed. The simulation results finally verify the scientific and effectiveness of this method. The study will provide a more scientific and reliable basis for systems engineering decision analysis.

基于BP神经网络的商业智能系统综合评价研究
本文分析了商业智能系统(BIS)综合评价的现状,阐述了建立综合评价体系的目标和原则。构建了企业国际收支评价指标体系,运用层次分析法确定指标权重,并采用模糊TOPSIS法确定不同企业国际收支的综合得分。然后讨论了如何利用BP神经网络对BIS进行评价。仿真结果验证了该方法的科学性和有效性。该研究将为系统工程决策分析提供更加科学可靠的依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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