基于熵权-变异系数组合权重的金银花质量评价模型构建

Construction of quality evaluation model of honeysuckle based on combination weight of entropy weight and coefficient of variation

中文关键词:  金银花  熵权法  变异系数法  加权逼近理想解排序法  加权秩和比法  综合评价

英文关键词:honeysuckle  entropy weight method  variation coefficient method  technique for order preference by similarity to ideal solution  rank sum ratio  comprehensive assessment

中文摘要:

      目的 建立不同主产区金银花质量分析的综合评价模型。方法 选取抗病毒活性主要成分绿原酸、木犀草苷、咖啡酰奎宁酸, 影响质量安全的铅、镉、砷、汞、铜5个重金属指标以及二氧化硫残留和农药残留检出种类数量为评价指标, 使用熵权法结合变异系数法计算组合权重, 运用加权逼近理想解排序法(technique for order preference by similarity to ideal solution, TOPSIS)、加权秩和比法(rank sum ratio, RSR)及两者模糊联合的方法构建评价模型。结果 引用《金银花采收加工及质量评价方法研究》中的数据为例, 结果表明构建的模型运用在金银花质量评价中是可靠的。结论 运用熵权-变异系数组合权重评价方法构建模型可以避免单一评价方法的缺点, 更加真实地反映不同产区金银花的品质。

英文摘要:

      Objective To establish a comprehensive evaluation model for quality analysis of honeysuckle from different main producing areas. Methods The main components of antiviral activity including chlorogenic acid, luteolin, and caffeoylquinic acid, 5 heavy metal indicators of lead, cadmium, arsenic, mercury, and copper affecting quality and safety, and the number of detected types of sulfur dioxide residues and pesticide residues were selected as the evaluation indicators. The combination weight was calculated by the entropy method combined with the coefficient of variation method, the evaluation model was constructed by technique for order preference by similarity to ideal solution (TOPSIS), and the weighted rank sum ratio (RSR) and the fuzzy combination of the 2 method. Results The data of Research on the methods of honeysuckle harvesting, processing and quality evaluation was cited as an example, and the results showed that the model was reliable in the quality evaluation of honeysuckle. Conclusion Using entropy weight coefficient of variation combination weight evaluation method to construct the model can avoid the shortcomings of a single evaluation method, and can more truly reflect the quality of honeysuckle in different regions.