针对传统硫化矿石自燃倾向性评价方法中指标权重的赋值争议问题，基于蕴含权重的偏序集理论，建立硫化矿石自燃倾向性偏序集评价模型。首先，阐明评价指标集并收集待判样本数据；其次，借助信息熵理论获取评价指标的权重顺序信息，构造偏序矩阵；最后，得出Hasse矩阵并绘制Hasse图，分析图中呈现的层集信息，实现对硫化矿石自燃倾向性的评价。实例分析表明：该评价模型可以有效避免传统评价方法中指标的赋权争议问题，分级结果更加精细，评价结果准确合理，具有很好的稳健性，为优化硫化矿石自燃倾向性评价方法提供了新思路。

Aiming at the controversial assignment of index weight in the evaluation method of spontaneous combustion tendency of traditional sulfide ores，a partial ordered set evaluation model for spontaneous combustion tendency of sulfide ores was established based on the partial ordered set theory of implied weight. Firstly，the low temperature oxidation weight gain rate，self-hot spot temperature and spontaneous ignition point temperature of sulfide ores were selected as the evaluation index set and the classification standard of spontaneous combustion tendency of sulfide ores was determined. Secondly，the data of the samples to be judged were collected，and the virtual samples were artificially constructed according to the grading standards. The weight order information of the evaluation indexes was obtained by using the information entropy theory，and the partial order matrix was constructed. Finally，Hasse matrix was obtained and Hasse graph was drawn，and the layer set information presented in the graph was analyzed to evaluate the spontaneous combustion tendency of sulfide ores. The example analysis results show that the evaluation model can effectively avoid the weighting dispute of the traditional evaluation method，the classification results are more precise，the evaluation results are accurate and reasonable，and has good robustness，which provide a new idea for optimizing the evaluation method of spontaneous combustion tendency of sulfide ores.

http://www.goldsci.ac.cn/article/2022/1005-2518/1005-2518-2022-30-1-105.shtml