西安科技大学学报2017，Vol.37Issue(3)：410-417,8.DOI:10.13800/j.cnki.xakjdxxb.2017.0316
煤层冲击倾向性变权重可变集分类识别
Integrated variable weight and variable sets classification recognition method for rock burst tendency of coal seam
摘要
Abstract
Aiming at the fuzzy uncertainty problems for rock burst tendency evaluation of coal seam,a classification recognition method using variable weight and variable sets was proposed to improve the recognition accuracy of bursting liability.Four indexes were selected as classifying indexes including duration of dynamic fracture,elastic strain energy index,bursting energy index and uniaxial compressive strength.The fixed weight of evaluation index was gained based on CRITIC,and variable weight of sample index was calculated by index data and standard value of index classification.Then the game theory optimization model was introduced to determine variable weight vector of evaluation sample considering subjective weights and objective weights.The relative difference degree between each index and standard interval of each level index was reasonably calculated by variable sets theory.Variable sets model was established to identify sample grade by stable grade feature value.The results show that the proposed approach can be applied to evaluate the rock burst tendency accurately based on the change of model parameters and index variable weight,and the assessment result can be more reliable.It provides a new theory and approach for identification of bursting liability and prediction of rock burst.关键词
冲击地压/冲击倾向性/可变集识别模型/变权模型/博弈论/类别特征值Key words
rock burst/bursting liability/variable sets recognition model/variable weight model/game theory/grade feature value分类
矿业与冶金引用本文复制引用
郭金栋,朱云辉..煤层冲击倾向性变权重可变集分类识别[J].西安科技大学学报,2017,37(3):410-417,8.基金项目
淮南职业技术学院科技基金(HKJ15-1) （HKJ15-1）
安徽省教育厅高等学校省级质量工程项目(2015msgzs168) （2015msgzs168）
