Research on Cost-Benefit Evaluation Model of Social Security Project Based on Fuzzy Entropy

At present, there is no uniform standard for the cost estimation of social security projects for reference, and the cost composition and estimation contents of projects under the self-management mode of all regions are different. In order to do a good job in the basic data collection and information submission for cost estimation, it is necessary to deeply study the cost efficiency of social security projects and realize the high precision assessment thereof. Aiming at the shortcomings of current cost-benefit evaluation model of social security project, such as large error, long time-consuming, low sensitivity to change of inspection value, etc., this paper studies the relevant reference, and puts forward a cost-benefit evaluation model of social security project based on fuzzy entropy. This paper uses analytic hierarchy process to construct the cost-benefit evaluation index system of social security project. By comparing the two indexes, the importance of each index is judged. The final evaluation index is determined according to the consistency test results of the judgment matrix. Combining with the calculation of fuzzy entropy, the indexes are empowered, and the social security project is established by synthesizing the weight of each index, the relevant data of investment budget and project demand. The cost-benefit evaluation model of the project is integrated to realize the benefit evaluation. The experimental results show that the evaluation efficiency of the proposed model is higher, the sensitivity of the model to the changes of the observed values is significantly higher than that of the experimental comparison model, and the evaluation results are closer to the reference values.