To scientifically evaluate the comprehensive performance of lump ore entering the blast furnace and overcome such limitations as indicator redundancy and strong subjectivity in weight allocation in existing evaluation methods,a comprehensive performance evaluation model for lump ore entering the furnace based on PCA-EWM-TOPSIS is constructed. Firstly,PCA is used to reduce the dimensionality of the 17 performance indicators of the lump ore entering the blast furnace,eliminate the interference caused by correlations between various indicators,and extract three key principal components F₁ ,F₂ ,F_{3 ). Next,the Entropy Weight Method (EWM) is applied to objectively determine the weights of each principal component (F1 :0. 503,F2 :0. 281,F3 :0. 216) based on the dispersion of the data. Subsequently,the TOPSIS method is used to calculate the relative proximity (C-value) of 11 actual lump ore samples to the ideal solution, and based on these results,a comprehensive performance ranking is established. The results show that the comprehensive performance ranking of the 11 sample blocks in the furnace is:I4 > I3> I1 > I8 > I2 > I11 > I6> I7 > I5 > I10 > I9 . The model results are consistent with the conclusions of existing evaluation methods,confirming their reliability.}