SET PAIR ANALYSIS-VARIABLE FUZZY SET MODEL FOR UNDERGROUND GOAF RISK EVALUATION

被引：0
|
作者：
Liu, Ke-Wei [1 ]
Li, Xi-Bing [1 ]
Chen, Hong-Jiang [1 ]
机构：
[1] Cent S Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China
来源：
CONTROLLING SEISMIC HAZARD AND SUSTAINABLE DEVELOPMENT OF DEEP MINES: 7TH INTERNATIONAL SYMPOSIUM ON ROCKBURST AND SEISMICITY IN MINES (RASIM7), VOL 1 AND 2 | 2009年
关键词：
D O I：
暂无
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
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.
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页码：203 / 208
页数：6
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