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

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.