Fuzzy Prediction System of Construction Cost Based on Data Analysis Algorithm

The method based on fuzzy prediction is a commonly used and convenient fuzzy model of project cost. It can quantitatively analyze the factors involved in construction projects and achieve dynamic optimization to a certain extent. However, due to some problems and shortcomings, the final result is not ideal. In order to improve this situation and meet the practical application needs, this paper proposes to use data mining technology to build a mathematical model, use fuzzy prediction algorithm to establish a building project cost system model based on fuzzy functions, so that the project can be better managed, controlled and evaluated. Finally, the function of the system is tested. The test results show that the fuzzy prediction system of construction cost has fast prediction time, fast system response time and high prediction success rate.