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煤炭企业科技进步水平综合评价研究
引用本文:曹树刚,魏亚星.煤炭企业科技进步水平综合评价研究[J].重庆大学学报(自然科学版),2016,39(2):25-33.
作者姓名:曹树刚  魏亚星
作者单位:重庆大学 煤矿灾害动力学与控制国家重点实验室,重庆,400030
基金项目:国家自然科学基金联合基金资助项目(U1361205);国家自然科学基金资助项目(51474039);煤矿灾害动力学与控制国家重点实验室自主课题(2011DA105287-ZD201302)。
摘    要:根据煤炭企业资源约束性、生产高危性以及环境破坏性等特点,建立了以综合环境条件、科技投入水平、经济效益水平、社会效益水平等为主线,包含9个二级指标、24个三级指标的煤炭企业科技进步水平评价指标体系;运用层次分析法,邀请42名不同工作单位和专业领域的专家采用1~9标度法得到指标权重值;权重分析表明,煤炭企业提高科技进步水平的工作重点是提升整体职工素质,引进高层次技术人才以及增加科技投入资金;最后,采用模糊综合评判方法对煤炭企业的科技进步水平进行了综合评价。实例分析表明,建立的评价体系具有较强的实用性,对煤炭企业的技术发展和管理优化具有一定的指导作用。

关 键 词:煤炭工业  科技进步  层次分析法  模糊理论  评价
收稿时间:2015/10/9 0:00:00

A study on comprehensive evaluation of technological progress level of coal enterprises
CAO Shugang and WEI Yaxing.A study on comprehensive evaluation of technological progress level of coal enterprises[J].Journal of Chongqing University(Natural Science Edition),2016,39(2):25-33.
Authors:CAO Shugang and WEI Yaxing
Institution:State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, P. R. China and State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, P. R. China
Abstract:According to the characters of coal enterprises, such as resource constraints, high-risk production and environmental destruction, etc., we established an evaluation index system of technical progress for coal enterprises, which consists of nine second indicators and 24 third indicators. By using 1-9 scale of AHP(analytic hierarchy process) method, 42 experts from different work units and professional fields were invited to obtain the index weight. According to the weight analysis, the optimal path to improve coal enterprises'' technological level is to improve the quality of the whole staff,introduce high-level technical personnel and increase science and technology investment funds. Fuzzy comprehensive evaluation method was used to evaluate technology progress of coal enterprises. And a case study shows that this evaluation system can optimize coal industry development and management.
Keywords:coal industry  technological progress  AHP  fuzzy set theory  evaluation
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