层次分析法和灰色关联度在葡萄酒评价中的应用研究

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Grey System Pub Date : 2012-09-01 DOI:10.30016/JGS.201209.0001
Chih-Jiun Lin, Chien-Yan Hsieh
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引用次数: 1

摘要

本研究的目的是运用层次分析法(AHP)建立葡萄酒评价模型。共30份样品进行了主成分分析和挥发性元素分析。所研究的元素包括五种成分:干浸出物、pH值、可滴定酸度、酒精浓度和残糖。酒的价格也包括在内。层次分析法基本上建立在这六个要素之上。本文将采用访谈法和专家问卷法来筛选评价指标。然后运用层次分析法进行专业评价,在评价指标的检验下得到各指标的相对权重。结果将给出葡萄酒从差到优的评级。希望本研究能对消费者选择葡萄酒有所帮助。该模型将能够向消费者推荐自适应的葡萄酒,并提供葡萄酒的信息。这将是非常有用的酒店业。
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A Study of Using Analytical Hierarchy Process and Grey Relational Grade in Wine Evaluation
The purpose of this study was to construct a wine evaluation model by using Analytical Hierarchy Process (AHP). Samples totaling 30 in number were subjected to find the main components and analyze the volatile elements. The elements studied included five components: dry extract, pH, titratable acidity, alcohol level and residual sugar. The price of the wine will also be included. Analytical Hierarchy Process is built basically on these six elements. This thesis will use interviews and evaluation of experts' questionnaires to sift the evaluation index. Next, the AHP is applied to conduct professional evaluation, and then get the relative weights of indicators under the examination of evaluation index. The result will give the ratings of the wines from poor to excellent. It is hoped that this study may lead to helpful for assist consumer in choosing a wine. The model will be able to commend adaptive the wine to consumer and provide the information of the wine. It will be very useful in hospitality industry.
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来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
期刊最新文献
A Study of Using Analytical Hierarchy Process and Grey Relational Grade in Wine Evaluation Selection of Discrete GM Model Initial Value by Designing Calculation Program Clustering the English Reading Performances by Using GSP And GSM The Prices Prediction of Taiwan Stock via GM(1,1) Method Apply Differences Grey Prediction Methods in the Selling of LOHAS
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