Abstract
The research on risk control of chemical industrial park is one of the most important research contents in the management of chemical enterprises. As the chemical industry park is a very complex system, the risk control involves many problems, and it is necessary to consider the relative importance of each index. There are many methods to evaluate the risk control in chemical industrial park, and some methods have been applied in practice. Analytic hierarchy process (AHP) is a classical multiple attribute decision making method, which has been applied in many fields. In the analytic hierarchy process, the construction of judgment matrix is the key in the whole analysis process, which determines the success or failure of the analysis process. In this paper, we propose an adaptive method for constructing judgment matrix, which can speed up the construction of judgment matrix. First of all, this paper introduces the principle and implementation steps of analytic hierarchy process. Secondly, the calculation principle of the maximum eigenvector root and weight vector is described. Thirdly, an adaptive method of constructing judgment matrix is proposed. By calculating the steering matrix, we can locate the problem elements of the judgment matrix, which can improve the reconstruction efficiency of the judgment matrix. Finally, an example is given to verify the improved algorithm, and the results show that the improved algorithm has a good effect.
