基于隶属度转换新算法的煤气站安全性模糊评价

Fuzzy evaluation on the safety of coal gas station based on a new algorithm of membership degree transformation

基于熵的数据挖掘方法,通过定义指标区分权,清除指标隶属度中对目标分类的冗余值,提取有效值计算目标隶属度,由此构建隶属度转换新算法用于煤气站安全性模糊评价中。通过与现有隶属度转换方法计算结果对比,验证了新算法具有更高的精度,从而能更准确地对煤气站安全性做出评价。

Eliminated the redundant data in index membership for object classification by defining distinguishable weights and extracting valid values to compute object membership,built a new algorithm of membership degree transformation and applied the new algorithm in fuzzy evaluation on the safety of coal gas station.Evaluation results show that,compared with existing membership degree transformation methods,the new algorithm can be used to evaluate the safety of coal gas station more accurately.