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葡萄酒评分优化模型
引用本文:吕孙忠.葡萄酒评分优化模型[J].四川理工学院学报(自然科学版),2013,26(1):90-94.
作者姓名:吕孙忠
作者单位:温州大学数学与信息科学学院,浙江温州,325035
基金项目:浙江省新苗计划资助项目(2012R424006);温州大学大学生创新训练计划项目(201210351013)
摘    要:品酒员为葡萄酒打出的分值易受主观因素的影响,利用方差分析判别不同组别的品酒员的评价结果是否存在显著性差异,用方差、逆序数和肯德尔和谐系数这三个指标选定较为可信的一组数据,再建立模糊综合评价体系确定葡萄酒的最终质量得分。

关 键 词:方差分析  逆序数  肯德尔和谐系数  模糊综合评价体系

Optimized Model for Wine Score
LV Sun-zhong.Optimized Model for Wine Score[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2013,26(1):90-94.
Authors:LV Sun-zhong
Institution:LV Sun-zhong(College of Mathematics and Information Science,Wenzhou University,Wenzhou 325035,China)
Abstract:Wine tasters are easily affected by subjective factors while scoring the wine. Variance analysis can be used to test whether there is significant difference in the scores among different groups and subsequently develop the evaluation criterion with variance, inverse number and Kendall coefficient of concordance to select reasonable scores. Finally, a model based on indistinct comprehensive evaluation is established to determine the ultimate scores of the wine.
Keywords:variance analysis  inverse number  Kendall coefficient of concordance  indistinct comprehensive evaluation
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