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