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机构地区:[1]河海大学商学院,南京211100
出 处:《重庆理工大学学报(自然科学)》2016年第9期60-65,共6页Journal of Chongqing University of Technology:Natural Science
基 金:江苏省社会科学基金资助项目(09GLB006);江苏省高校哲学社会科学研究基金资助项目(2012SJDFDY096)
摘 要:在简要分析工业低碳化发展影响因素的基础上,构建了基于低碳经济、低碳技术和低碳环境3个方面8个指标的工业低碳化发展水平评价指标体系。将基于模糊聚类改进的灰靶决策方法结合风险决策模型应用到工业低碳化发展水平综合评价中,并利用中国工业低碳化发展水平的例子进行实证分析。结果表明:在考虑了低碳经济、低碳技术和低碳环境3个评价指标的前提下,企业技术转型是实现工业低碳化发展比较有效的方案,说明该改进模型是工业低碳化可持续发展的快速预测的一种新方法。Based on a brief analysis of the development of low-carbon industrial factors, we constructed a low-carbon industrial development level evaluation index system of low-carbon economy based on low-carbon technologies and low-carbon environmental including eight indicators,and would apply the risky grey target decision model based on fuzzy clustering the method to the level of lowcarbon industrial development comprehensive evaluation analysis system,and using the example of the level of China's low-carbon industrial development,we verified the new model. The results showed that: under the three evaluate indicators that the low-carbon economy,low-carbon technologies and low carbon environmental,technology transformation is an effective method to achieve low-carbon industrial development for enterprises. Further it verifies that the improved model is a new andpredictive method to sustainable development for the low-carbon industries.
关 键 词:灰靶决策 模糊聚类 风险决策模型 低碳化发展 综合评价
分 类 号:X823[环境科学与工程—环境工程]
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