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     Advance Journal of Food Science and Technology


Combining TOPSIS with Group Eigenvalue Method for Wine Evaluation Model

1Qi Wang and 2Haiping Ren
1Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402
2School of Software, Jiangxi University of Science and Technology, Nanchang 330013, P.R. China
Advance Journal of Food Science and Technology  2014  6:751-754
http://dx.doi.org/10.19026/ajfst.6.105  |  © The Author(s) 2014
Received: March ‎13, ‎2014  |  Accepted: April ‎11, ‎2014  |  Published: June 10, 2014

Abstract

In recent years, with the continuous improvement of people's living standards, more and more people join the wine consumption. It is important for brand wine enterprises to evaluate the wine. On the one hand, they can price according to the different grades of wine, on the other hand they can also be looking for cheap and fine raw materials from wine evaluation model. Determining the quality of wine is generally by hiring a group of qualified member (expert) to evaluate the wine according to several evaluation indexes. Then, according to evaluation indexes values given by each expert, a multiple attribute group decision making model is obtained. The group eigenvalue method can get ideal expert of each evaluation index, thus it makes the whole process of evaluation is more objective. So this article will introduce a eigenvalue method to the wine evaluation model, put forward a group decision making method based on TOPSIS and the group eigenvalue method. First, the group eigenvalue method is used to calculate each evaluation index of ideal expert evaluation. Then, TOPSIS method is used to solve the multi-attribute evaluation model. Finally, an application example is given to illustrate the validity and practicability of the method.

Keywords:

Group eigenvalue method, multi-attribute group decision making, TOPSIS, wine quality evaluation,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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