Data Mining for Coal Mines Inherent Safety Based on Fuzzy Comprehensive Evaluation

摘要：

This article aims at evaluating the degree of coal mines inherent safety and indicators system through the use of fuzzy comprehensive evaluation. The evaluation can not only determine available sets, but also analyze the score of its coal mines inherent safety. In this way, quantitative coherence can be discovered by using the techniques of fuzzy data mining boolean association rules. Fuzzy data mining for coal mines inherent safety built on real examples proves its feasibility.

关键词： coal mines inherent safety fuzzy data mining fuzzy clustering

作者: CHEN Zhangliang SUN Yufeng LI Zhongcai

作者单位: School of Management Science and Engineering, Shandong Institute of Business & Technology, Yantai 26 School of Management Science and Engineering,Shandong Institute of Business & Technology, Yantai 264 School of Management Science and Engineering, Shandong Institute of Business & Technology, Yantai 26

会议类型: 国际会议

会议名称: The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)

会议地点: 杭州

会议语种:英文

页码: 95-102

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）