Data Mining for Knowledge System of Miner Safety Behavior Indexes Based on Genetic Algorithm

摘要：

The knowledge system about human safety behaviour indexes was established according to the measuration result of the comprehensive scale to 273 miners of different kinds of work. After coding, constructing fitness function, confirming crossbreed rate and mutation rate, genetic algorithm was used to deduce the classification regulations for the index knowledge system; moreover, decision regulations for human safety behavior mode were achieved. Finally, the qualitative evaluation method is designed for the safety status of human behavior based on the reductive decision regulations. The actual testing shows that this method can be surveyed expediently and the evaluation result is accurate.

关键词： Genetic algorithm Miner Safety behaviour Decision regulation Qualitative evaluation

作者: ZHOU Gang CHENG Weimin CHEN Lianjun

作者单位: College of Resource and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266510, China

会议类型: 国际会议

会议名称: 2010 International Conference on Mine Hazards Prevention and Control(第二届矿山灾害预防与控制国际学术会议 ICMHPC)

会议地点: 青岛

会议语种:英文

页码: 652-658

在线出版日期: 2010-10-15（万方平台首次上网日期，不代表论文的发表时间）