期刊文献+

基于熵权-TOPSIS法的煤矿安全投入决策分析 被引量:29

Analysis of coal mine safety investment decision based on entropy weight-TOPSIS method
下载PDF
导出
摘要 为提高煤矿安全投入决策水平,使安全投入更好地保障煤矿安全生产,建立基于熵权-逼近理想解排序法(TOPSIS)的安全投入方案评价模型。首先,针对安全投入的特点,从安全投入、产出2方面选取7个指标,构建安全投入评价指标体系;其次,基于熵权法确定各指标权重,并结合TOPSIS法计算得出各方案的相对贴近度,实现方案的优选并以最佳方案的投入比例为参考进行安全投入决策。结果表明:合理的安全投入结构是实现安全效益最大化的重要前提;该模型可以有效地选出以往安全投入方案中能以最少的投入实现最大产出的方案,有助于提高煤矿安全效益。 In order to improve decision-making level of coal mine safety investment and make safety input to better ensure safety of coal mine production,evaluation model of safety investment scheme based on entropy weight-TOPSIS was established.Firstly,according to characteristics of safety investment,seven indexes were selected from two aspects of safety investment and safety investment evaluation index system was constructed.Secondly,weight of each index was determined based on entropy weight method,and relative closeness degree of each scheme was calculated with TOPSIS method,so as to realize optimization of scheme and make safety investment decision with input proportion of best scheme as reference.The results show that reasonable safety investment structure is an important prerequisite to realize maximization of safety benefit.This model can effectively select previous safety input scheme which can achieve the maximum output with the least input,which is helpful to improve safety benefit of coal mine.
作者 姜福川 周师 吴增彤 钟基超 张书豪 张雪芳 JIANG Fuchuan;ZHOU Shi;WU Zengtong;ZHONG Jichao;ZHANG Shuhao;ZHANG Xuefang(College of Safety Science and Engineering,Liaoning Technical University,Huludao Liaoning 125105,China)
出处 《中国安全科学学报》 CSCD 北大核心 2021年第7期24-29,共6页 China Safety Science Journal
基金 国家自然科学基金资助(51674127)。
关键词 煤矿 安全投入 熵权法 逼近理想解排序法(TOPSIS) 评价指标体系 相对贴近度 coal mine safety investment entropy weight method technique for order preference by similarity to an ideal solution(TOPSIS) evaluation index system relative closeness degree
  • 相关文献

参考文献17

二级参考文献131

共引文献260

同被引文献329

引证文献29

二级引证文献40

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部