基于改进模糊灰色关联分析法的烤烟化学品质评价

摘要

针对烤烟化学品质灰色关联度评价方法中存在的问题，从分辨系数和参考向量两方面进行了改进，同时引入了灰熵概念，构建了改进的模糊灰色关联模型，新灰色综合评价值同时反映了参评样本与最优和最劣参考向量间的数据曲线差异性，并以四川省烟叶样本为例进行了验证。结果表明：该模型适用于烤烟化学品质的评价，对2008-2012年5年间四川省烤烟烟叶化学品质的评价排序为2010年>2012年>2011年>2008年>2009年，评价结果符合实际。%To solve the problems existed in the chemical quality evaluation of flue-cured tobacco based on grey correlation analysis, an improved fuzzy grey correlation model was established by revising identification coefficient and reference vector and introducing the concept of grey entropy. New grey comprehensive evaluation value reflected the differences of the tested sample containing with both the best reference vector and the worst reference vector in terms of data curve. The model was validated with tobacco leaf samples from Sichuan. The results showed that the model was suitable for the chemical quality evaluation of flue-cured tobacco, the chemical quality evaluation result of Sichuan flue-cured tobacco leaves harvested from 2008 to 2012 was in the order of 2010>2012>2011>2008>2009, which was agreed with the facts.