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.
Highlights
In recent years, more and more people began to drink wine with the development of economy and improvement of people’s life
The enterprise often hires a group of qualified member to evaluate the wine according to several evaluation indexes, which are appearance analysis, aroma analysis, texture analysis and balance evaluation
In multi-attribute decision making problems, the attribute weights is important for the decision result, in this study we propose the coefficient of variation method to get the weights of wine evaluation indexes
Summary
More and more people began to drink wine with the development of economy and improvement of people’s life. Wine quality evaluation model is a multi-attribute group decision making model. In multi-attribute decision making problems, the attribute weights is important for the decision result, in this study we propose the coefficient of variation method to get the weights of wine evaluation indexes (attributes).
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
