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     Advance Journal of Food Science and Technology


Fuzzy Multi-attribute Group Decision Making Method for Wine Evaluation Model

1Haiping Ren and 2Lianwu Yang
1School of Software, Jiangxi University of Science and Technology, Nanchang 330013
2School of Mathematics and Computer Science, Yichun University, Yichun 336000, P.R. China
Advance Journal of Food Science and Technology  2014  6:825-828
http://dx.doi.org/10.19026/ajfst.6.118  |  © The Author(s) 2014
Received: April ‎22, ‎2014  |  Accepted: May ‎25, ‎2014  |  Published: June 10, 2014

Abstract

In recent years, with the fast increase of red wine consumption, the wine evaluation becomes more important for wine enterprises. Establishing the grade of wine needs many qualified members (experts) to evaluate the wine according to several evaluation indexes. Evaluation indexes are mainly quality indexes. Interval numbers are more suitable than numerical numbers to demonstrate these indexes. Then, the wine evaluation model is a fuzzy multiple attribute group decision making model. In this study, we will propose a fuzzy TOPSIS method for the wine evaluation model, in which the evaluation index values are expressed with interval numbers. The coefficient of variation method is used to determine the index weights. Finally, an application example is given to illustrate the validity and practicability of the method.

Keywords:

Interval number, multi-attribute group decision making, TOPSIS, wine evaluation,


References

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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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