SET PAIR ANALYSIS-VARIABLE FUZZY SET MODEL FOR UNDERGROUND GOAF RISK EVALUATION
Underground goaf risk evaluation is a complicated uncertainty system issue. Based on the set pair analysis (SPA) and the variable fuzzy sets theory, a new fuzzy comprehensive classification model was established for underground goaf risk evaluation. Considering the geologic condition and engineering status of underground goaf, five factors such as the span, area, height and depth of underground goaf were taken into account. In order to test this new model, ten risk underground goafs in Dabaoshan mine were evaluated through it. Compared with the results of fuzzy synthetic evaluation method and uncertainty measurement method, the results show that the proposed method used to evaluate the risk of underground goaf is feasible and effective, and more objective.
KE-WEI LIU XI-BING LI HONG-JIANG CHEN
School of Resources and Safety Engineering, Central South University Changsha 410083, China
国际会议
The 7th International Symposium on Rockburst and Seismicity in Mines(2009年第七届国际岩爆与微振动性学术研讨会)
大连
英文
203-208
2009-08-21（万方平台首次上网日期，不代表论文的发表时间）