Objective To overcome the subjective limitations and uncertainty of results in the traditional judgment on key areas of chemical hazard monitoring and to improve the scientific selection of important areas of chemical hazard monitoring.
Methods Based on the statistical analysis of the factors affecting the importance of chemical hazard monitoring, a scientific quantitative model was constructed to rank the importance of chemical hazard monitoring areas. The index weights of subjective and objective weighting methods were compared by Spearman rank correlation coefficient analysis, and three ranking methods were judged comprehensively by Kendall correlation analysis. In this paper, a spearman-based combined AHP, EWM, and FAHP assignment method (S-AEF) and a Kendall-based W, TOPSIS, and VIKOR integrated ranking method (K-WTV) were proposed to rank the importance of chemical hazard monitoring areas.
Results As an example, taking a certain area of a large city as a chemical hazard monitoring area, the similarity between the results calculated by S-AEF combined with the K-WTV method and multiplicative synthesis method, the optimal weighting method, and the game theory weighting method was 0.659, 0.913, and 0.659, respectively, which were larger than the critical value and basically consistent with the judgment of practical experience, which demonstrated the feasibility of this method.
Conclusions The proposed method was objective, feasible, applicable, and scientifically reasonable. It can provide a new idea for solving uncertain problems, such as the ranking of the importance of chemical hazard monitoring areas.