IDO most superior pattern recognition model and its application in the safety assessment of the coal mine
GSPA is introduced. From certainty and uncertainty, measured indicator sets of assessing samples and standard sets are as set pair, and the method to determine the connection degree is discussed, as for some indicator, if it is in this grade, then it is identical; if it is in the neighboring grade, then it is different; if it is in the separated grade, then it is the opposite. The maximum subordinate degrees judgment criterion is discussed. The smallest square sum of the weight deviation degree between samples and the safety level grade standards is as the objective function, The IDO most superior pattern recognition model is proposed, and they are applied to the safety assessment in the coal mine. The latter is more suitable for the safety assessment in the coal mine by comparing their advantages and disadvantages, which provides theory basis for the safety production.
connection degree IDO most superior pattern recognition relative subordinate degree conprehensive index safety assessment
LI De-shun XU Kai-li
School of Environmental & Chemical Engineering, Shenyang Ligong University, Shenyang 110168, Chin School of Resources & Civil Engineering Northeastern University, Shenyang 110004, China
国际会议
The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)
北京
英文
693-698
2011-10-27（万方平台首次上网日期，不代表论文的发表时间）