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[1]杨力,王蕾.基于熵值法和支持向量机的煤矿应急救援能力评价模型[J].中国安全生产科学技术,2015,11(9):113-119.[doi:10.11731/j.issn.1673-193x.2015.09.018]
　YANG Li,WANG Lei.Evaluation model on emergency rescue capability of coal mine based on entropy method and support vector machine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(9):113-119.[doi:10.11731/j.issn.1673-193x.2015.09.018]
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基于熵值法和支持向量机的煤矿应急救援能力评价模型
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
11
期数:
2015年9期
页码:
113-119
栏目:
职业安全卫生管理与技术
出版日期:
2015-09-30

文章信息/Info

Title:
Evaluation model on emergency rescue capability of coal mine based on entropy method and support vector machine
作者:
杨力1; 王蕾2
（1.安徽理工大学 人文社会科学学院，安徽 淮南 232001；2. 安徽理工大学 经济与管理学院，安徽 淮南 232001）
Author(s):
YANG Li1;  WANG Lei2
(1. School of Humanities and Social Sciences, Anhui University of Science and Technology, Huainan Anhui 232001, China; 2. School of Economics and Management, Anhui University of Science and Technology, Huainan Anhui 232001, China)
关键词:
熵值法; 支持向量机; 煤矿应急救援能力; 评价模型
Keywords:
entropy method;  support vector machine;  emergency rescue capability of coal mine;  evaluation model
分类号:
X928.04;F407.1
DOI:
10.11731/j.issn.1673-193x.2015.09.018
文献标志码:
A
摘要:
为增强煤矿应急救援能力，提高评价的精度，弥补单一评价方法的缺陷，构建了基于熵值法和支持向量机的煤矿应急救援能力评价模型。根据各评价指标数据所提供的信息量，运用熵值法设定指标权重，进一步将指标权重定量化、客观化；同时鉴于煤矿应急救援能力评价数据难收集、影响因素复杂多变的状况，结合具有处理非线性、小样本数据问题的支持向量机进行评价，保证了评价结果的准确性。实证分析表明，该模型的评价结果与煤矿实际应急救援能力非常接近，可用于实际的煤矿应急救援能力评价。
Abstract:
In order to enhance the emergency rescue capability of coal mine, improve the accuracy of evaluation, and make up for the deficiency of single evaluation method, an evaluation model on emergency rescue capability of coal mine was established based on entropy method and support vector machine. According to the information provided by the values of each evaluation index, the weight of each index was set by using the entropy method so as to make it more quantitative and objective. At the same time, given the situation that the influence factors were complex and changeable and the evaluation data on emergency rescue capability of coal mine was difficult to collect, the support vector machine with a high processing capability for nonlinear or small samples was combined to carry on evaluation for ensuring the accuracy of evaluation results. The empirical analysis showed that the evaluation results of the model were close to the practical emergency rescue capability of coal mine, and it can be used in practical application.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金项目(71371014，71071003)；安徽理工大学大学生科研项目(ZZ1412)
更新日期/Last Update: 2015-09-30