Objective:

2

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:

2

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:

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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:

2

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.