|本期目录/Table of Contents|

[1]尹小贝,白福利,岳仁田.基于GM(1,N)灰模型预测企业主动性安全投入[J].中国安全生产科学技术,2009,5(2):141-143.
 YIN Xiao bei,BAI Fu li,YUE Ren tian.Forecast of enterprises initiative investment on safety based on GM(1,N) grey model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2009,5(2):141-143.
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基于GM(1,N)灰模型预测企业主动性安全投入()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
5
期数:
2009年2
页码:
141-143
栏目:
出版日期:
2009-04-30

文章信息/Info

Title:
Forecast of enterprises initiative investment on safety based on GM(1,N) grey model
文章编号:
1673-193X(2009)-02-0141-03
作者:
尹小贝白福利岳仁田
中国地质大学(北京)
Author(s):
YIN Xiaobei BAI Fuli YUE Rentian
School of Engineering & Technology, China University of Geosciences
关键词:
GM(1N)灰模型特征量预测
Keywords:
GM(1N) grey model characteristic quantity forecast
分类号:
X915
DOI:
-
文献标志码:
A
摘要:
本文基于GM(1,N)灰模型对企业主动性安全投入总量进行预测,研究把企业安全整体情况或整体表现作为一个“灰系统”对待时,依据该系统的特征量,来对企业主动性安全投入进行预测,为我国企业进行安全投入时提供决策依据。
Abstract:
Based on GM(1,N) grey model, the authsrs studies the forecast about the enterprises initiative total investment on safety. The enterprise overall security situation or the whole performance was taken as the “grey system” and the systems characteristic quantity was applied to forecast the enterprise initiative investment and to provide basis of the policymaking for enterprises.

参考文献/References:

[1]罗云.安全经济学[M].北京:化学工业出版社,2004,3Luo Yun. Security Economics[M]. Beijing:Chemical Industry Press,2004,3[2]何学秋.安全工程学[M].徐州:中国矿业大学出版社,2001:259~261He XueQiu. Safety Engineering[M]. Xuzhou:China University of Mining and Technology Press, 2001:259~261[3]侯立峰,何学秋·安全投资决策优化模型[J].中国安全科学学报,2004,14(10):29~32Hou Lifeng,He XueQiu. Security investment decisionmaking optimization model[J]. Chinese Journal of Safety Science,2004,14(10):29~32[4]邓聚龙.多变量属性的灰色GM(1,N)模型.灰系统,1989(1):25~41Deng Julong. Properties of multivariable grey model GM(1,N). The Journal of Grey System, 1989(1):25~41第5卷第2期2009年4月中 国 安 全 生 产 科 学 技 术Journal of Safety Science and TechnologyVol.5 No.2Apr. 2008文章编号:1673-193X(2009)-02-0144-06

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备注/Memo:
收稿日期:200812101
更新日期/Last Update: