摘要
为克服航空产品用户满意度测评过程中自变量之间的多重相关性问题,利用偏最小二乘回归方法(PLS),建立航空产品用户满意度回归模型。通过主成分提取和还原计算的迭代,准确确定影响航空产品用户满意度的各要素对其用户满意度的贡献,完成用户满意度的回归预测,并以某型飞机用户满意度计算为例,验证了该模型的有效性和实用性。
To deal with the regress error which comes from the multiple correlations of variables that exists in the customer satisfaction measurement of airplane product, a regress model of customer satisfaction measurement system is built, which is based on the Partial Least-Squares Regression （PLSR） that is good at dealing with small samples of multivariate data. By unceasing principal component extraction and regulation calculation iteration, the model can present the impact of the components, which affect the customer satisfaction of aviation product, on the customer satisfaction. An example of calculating the customer satisfaction about aviation products is given in order to reveal the validity and practicability of the model.
出处
《飞机设计》
2008年第4期77-80,共4页
Aircraft Design
关键词
偏最小二乘
航空产品
用户满意度
回归模型
partial least-squares regression （PLSR）
ai13olane product
customer satisfaction
regress model
