云计算
随机性
利克特量表
计算机科学
数据挖掘
模糊逻辑
产品(数学)
比例(比率)
人工智能
统计
数学
物理
几何学
量子力学
操作系统
作者
Yu Lian Fei,Xin Hou,Er Tian Hua
出处
期刊:Key Engineering Materials
日期:2011-02-01
卷期号:467-469: 1193-1199
被引量:1
标识
DOI:10.4028/www.scientific.net/kem.467-469.1193
摘要
Traditional methods such as scoring method, Likert scale method, etc, suffer from uncertainness, randomness and inaccuracy. To solve these problems, a cloud model is presented in this paper. Based on fuzzy mathematics and statistics, the cloud model can convert the qualitative evaluation of the product to quantitative scores. It’s a better way to overcome the disadvantages of direct scoring method that cause more inaccuracies. A prouct satisfaction evaluation model with three dimensions (i.e., evaluation index, product sets and estimator) is then constructed, which combines the cloud model and the grey relational analysis. Finally, the effectivity of the presented model is demonstrated by a case study.
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