基于显著性理论的电力建设工程投资灰色预测

Study on Grey Forecast Method for Power Construction Engineering Investment Based on the Cost-Significant Theory

摘要: 针对电力建设工程项目影响因素较多，而同类工程项目历史数据量较少的实际情况，在显著性理论(CS)的基础上构建CS模型和GM(1，1)灰色预测模型，实现电力建设工程的投资预测。同时，通过应用实例验证了模型的有效性，并能在有效保证预测结果精度的基础上简化计算程序，提高工作效率。

Abstract: For power construction projects influenced by many factors, and few historical data of similar projectsas the actual situation, CS model and GM (1, 1) gray prediction model are built on the basis of the Cost-Significant(C S) theory to achieve the investment forecasting for power construction projects. Meanwhile, application examples demonstrate the effectiveness of the model, and simplify the calculation of the effective procedures to ensure the accuracy of the prediction results under the foundation to improve work efficiency.