Rock mass quality classification plays a very important role in the practical engineering. Based on the combination of principal component analysis(PCA) and Fisher discrimination analysis method

a rock mass quality grade discriminant model is established. Uniaxial compressive strength

rock volumetric joint count

sonic compressional wave velocity

the jointed surface weathering coefficient of variation

the jointed surface roughness coefficient and permeability coefficient are selected as the discrimination factor of the rock mass quality classification. 20 training samples were selected from engineering rock characteristics data in the area of open pit of Yongping Copper Mine and 10 test samples is used to test the model and application. Moreover

comparing with the traditional RMR law and Fisher discriminant analysis

the corresponding correctness rates are 87%

70%

77%. The results show that: the combination of principal component analysis and Fisher discrimination analysis method is more accurate than the traditional one.