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作 者:张倩生 陈绮敏 ZHANG Qiansheng;CHEN Qimin(School of Mathematics and Statistics,Guangdong University of Foreign Studies,Guangzhou 510006,China)
机构地区:[1]广东外语外贸大学数学与统计学院,广州510006
出 处:《科技和产业》2025年第5期235-241,共7页Science Technology and Industry
基 金:国家自然科学基金(12171103);广东省自然科学基金(2023A1515011354)。
摘 要:低碳评价是一项全面评估企业环保行为和绩效的过程,有助于塑造企业积极的环保形象并增强其社会责任感。在低碳经济背景下,企业绩效评估不仅涉及定量指标,还包括定性指标。通过构建混合多属性绩效评估指标体系,针对低碳企业评估的不确定性指标,用梯形模糊数来刻画非定量数据,并用模糊熵权法确定各指标的权重,再通过多指标加权集结计算企业的综合绩效评价值,最后根据模糊可信均值和方差来评估企业低碳绩效发展水平的优劣。Low-carbon evaluation is a process of comprehensively assessing the environmental behavior and performance of enterprises,which helps to shape their positive environmental image and enhance their sense of social responsibility.In the context of low carbon economy,enterprise performance assessment involves not only quantitative indicators but also qualitative indicators.By constructing a hybrid multi-attribute performance evaluation index system,the uncertainty data of non-quantitative indicators of low-carbon enterprises were evaluated by trapezoidal fuzzy numbers,and the fuzzy entropy weighting method was used to determine the weights of the indicators,and then the multi-criteria weighted aggregation method was used to calculate the comprehensive performance evaluation value of the enterprise.Finally,the enterprise’s low-carbon development level can be ranked according to the fuzzy credibilistic mean and variance of performance.
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