文献类型：期刊文献

中文题名：基于AHP法优化的熵权TOPSIS模型对不同产地黄花菜药材质量的综合评价

英文题名：Comprehensive Evaluation of Quality of Hemerocallis Flava from Different Regions Based on Entropy TOPSIS Model Optimized by AHP Method

作者：刘书斌[1];张宏武[1];冯晓莉[2];李成义[2];王晓萍[1];李波[2,3];朱平[1];杨晓玲[4]

第一作者：刘书斌

机构：[1]甘肃省中医院;[2]甘肃中医药大学;[3]兰州市肺科医院;[4]甘肃中医药大学附属医院

第一机构：甘肃省中医院,兰州730050

年份：2019

卷号：0

期号：6

起止页码：168

中文期刊名：中国实验方剂学杂志

外文期刊名：Chinese Journal of Experimental Traditional Medical Formulae

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：兰州市人才创新创业项目(2017-RC-19);2015甘肃省高校中(藏)药化学与质量研究省级重点实验室开放基金项目(zzy-2015-01);甘肃省中医药管理局科研课题(GZK-2017-24)

语种：中文

中文关键词：层次分析法;熵权TOPSIS;综合评价;黄花菜

外文关键词：analytic hierarchy process method;entropy TOPSIS;comprehensive evaluation;Hemerocallis Flava

摘要：目的:通过优化的熵权TOPSIS模型评价不同产地黄花菜的药材质量,为中药的质量控制提供一种新的评价方法。方法:采用层次分析法(AHP法)优化的熵权TOPSIS模型对14个不同产地黄花菜药材的质量进行综合分析,构建了涵盖3个层次(目标层、决策层和指标层),10个指标(黄花菜花蕾的花冠、雌蕊、雄蕊、花梗的长度、浸出物、总灰分、槲皮素、异鼠李素、山柰酚和β-谷甾醇)的黄花菜药材质量的综合评价指标体系。结果:庆阳地区的黄花菜药材质量最优;其次为渭南地区的黄花菜;山西大同和四川小湾村的样品质量最差,与传统经验鉴别的"辨状论质"评价结果一致,说明建立的模型是成功的。庆阳地区黄花菜的异鼠李素和山柰酚含量分别是是四川小湾村的1. 72倍和2. 74倍,其他有效成分随产地变化没有显著性差异,建议异鼠李素和山柰酚可作为黄花菜鉴别及质量评价指标。结论:基于AHP法的熵权TOPSIS模型具有理论清晰,各评价指标主次分明,使用简单易于计算的特点,对于黄花菜药材是一种实用、快捷、有效的多目标决策分析的综合评价方法。
Objective: To optimize the entropy TOPSIS model to evaluate the quality of Hemerocallis Flava from different regions, in order to provide a new evaluation method for the quality control of traditional Chinese medicine. Method: The entropy weight TOPSIS model optimized by analytic hierarchy process( AHP)method was used to analyze the quality of Hemerocallis Flava from 14 different regions,and a comprehensive evaluation index system for the quality of Hemerocallis Flava,which covered 3 layers( target layer,decision layer and index layer),and 10 indexes( corolla of Hemerocallis Flavathe’s bud,pistils,stamens,peduncle length,extract,total ash, quercetin, β-rhamnocitrin, kaempferol, sitosterin) was established. Result: Qingyang showed the best quality of Hemerocallis Flava,which was followed by Weinan,and the lowest quality was found in Datong,Shanxi,and Xiaowan village,Sichuan. The results were consistent with the evaluation results of traditional empirical identification,suggesting the successful modeling. The contents of β-rhamnocitrin and kaempferol in Qingyang were 1. 72 times and 2. 74 times of those of Xiaowan village,Sichuan. There was no significant difference in other active ingredients from different regions. It was suggested that quercetin and kaempferol could be used as the identification and quality evaluation indexes of cauliflower. Conclusion: The entropy TOPSIS model based on the AHP method is clear,simple to use and easy to calculate,with distinct evaluation indexes. It is a practical,quick and effective comprehensive evaluation method for multi-objective decision analysis.