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

Shu-bin LIU; Hong-wu ZHANG; Xiao-li FENG; Cheng-yi LI; Xiao-ping WANG; Bo LI; Ping ZHU; Xiao-ling YANG

doi:10.13422/j.cnki.syfjx.20190512

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

Resource and Quality Evaluation | 更新时间：2021-02-09

- Comprehensive Evaluation of Quality of Hemerocallis Flava from Different Regions Based on Entropy TOPSIS Model Optimized by AHP Method
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 6, Pages: 168-174(2019)
- 作者机构：
  
  1.甘肃省中医院，兰州　 730050；
  2.甘肃中医药大学，兰州　 730000；
  3.兰州市肺科医院，兰州　 730050；
  4.甘肃中医药大学　附属医院，兰州　 730000
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20190512
  CLC： R283.6;R945;R284.1
- Received：05 July 2018，
  
  Published Online：2018-21-11，
  
  Published：20 March 2019
- 稿件说明：
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Shu-bin LIU, Hong-wu ZHANG, Xiao-li FENG, et al. Comprehensive Evaluation of Quality of Hemerocallis Flava from Different Regions Based on Entropy TOPSIS Model Optimized by AHP Method[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(6): 168-174.
DOI：

Shu-bin LIU, Hong-wu ZHANG, Xiao-li FENG, et al. Comprehensive Evaluation of Quality of Hemerocallis Flava from Different Regions Based on Entropy TOPSIS Model Optimized by AHP Method[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(6): 168-174. DOI： 10.13422/j.cnki.syfjx.20190512.

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

-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。

Abstract

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

-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

-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.

关键词

Keywords

references

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