In the process of underground mining，as the effect of mining method and mining technology，massive goafs have been formed in underground mines，which is the main factor influencing the goafs stability in underground mining. Generally，there are four main factors to affect the goafs stability，i.e. structure parameters，space distribution features，stress environment and characteristic value，and geological condition and mechanical parameters of ore and rock mass. There are the sources of the stability identification of goafs based on the multiple source information. Based on CMS technology and engineering geology survey，numerical simulation technology，and using the AHP weight analysis，a D-S evidence classification model is built based on the multisource information fusion in the goafs stability. Take a mine as example，the mining information and the parameters are collected，and the classifications of goafs stability are identified according to a four grade classification method. The result shows that the stability is relative to the structure parameters，geological parameters and the stress environment parameters of goafs. It is a typical problem of the multisource information fusion. Using D-S evidence theory，the classification of the goafs stability is identified，and the results are consistent with the goafs stability in the engineering recognition. It is an effective approach to indentify the classification of the gaofs stability involving many factors.