粗铅能效影响因素的熵权灰色关联分析  

Entropy weight grey correlation analysis of factors influencing energy efficiency of crude lead

作　　者：王洪才[1] 李斯昀 WANG Hong-cai;LI Si-yun(School of Energy Science and Engineering,Central South University,Changsha 410083,Hunan,China)

机构地区：[1]中南大学能源科学与工程学院,湖南长沙410083

出　　处：《资源信息与工程》2020年第2期130-133,共4页Resource Information and Engineering

摘　　要：结合灰色关联分析模型和以熵权法确定权重系数的方法,以关联度的大小次序来表述各指标之间的关联程度,并计算出各影响因素的熵值和熵权,得到各影响因素变化对粗铅能效的影响程度,为进一步降低冶铅能耗、减少碳排放提供帮助。由熵权灰色关联分析可知,各因素按影响程度大小的顺序为:λ,β3,γ5,γ2,β1,γ6,γ4,γ3,γ1,α1,β2,α2。Combining the grey relational analysis model and the entropy weight method to determine the weight coefficient,the correlation degree of each index were expressed by the order of the correlation degree.The entropy value and entropy weight of each factor were calculated to obtain the influence degree of each factor change on energy efficiency of crude lead,providing help for further reducing energy consumption of lead smelting and carbon emission.According to the entropy weight grey correlation analysis,the order of each factor according to the influence degree is:λ,β3,γ5,γ2,β1,γ6,γ4,γ3,γ1,α1,β2,α2.

关 键 词：灰色关联分析 熵权法 粗铅能效 

分 类 号：TF812[冶金工程—有色金属冶金]