1. Study on the Rationality Evaluation of Construction Cost Based on FCM Clustering and LSSVM.
- Author
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WANG Yi-bin and ZOU Xiao-hong
- Abstract
The rationality evaluation of construction project cost covers the whole process of construction project management. It is of great significance to identify and control the errors of compiled cost in time, which assists in improving the investment benefit of construction projects. This paper aims to address the shortcomings of the foundation and methods for the traditional cost evaluation. First, the construction engineering characteristic index is constructed, and the data similar to the project to be reviewed is identified from the large-sample-size data of the engineering projects by fuzzy C-means clustering, which is used as the training sample. Second, considering the nonlinearity of cost characteristic index and project cost, LSSVM is used to develop a prediction model for sample training. Finally, the prediction model is applied to analyze the cost prediction interval of the project to be reviewed, and the evaluation is completed by judging whether the construction value of the project to be reviewed is within the cost prediction interval. The results show that FCM clustering can identify similar engineering samples quickly and effectively. This evaluation model can improve the efficiency and reliability of construction cost evaluation. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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