关键词: 产品服务系统, 工程特性, 质量功能展开, 云模型, 相对偏好关系

Abstract: Aiming at the problem that the fuzziness and randomness of evaluation information were not considered comprehensively in traditional Quality Function Deployment (QFD),an analysis method for engineering characteristics importance degree of Product Service System (PSS) by combining cloud model and QFD was proposed.As cloud model had the advantage that could reflect both the fuzziness and randomness of information,cloud model was employed to process the evaluation information of QFD.A cloud relative preference relation analysis approach was put forward to calculate the importance degree of customer requirements and engineering characteristics.Based on the analysis of technical competitive evaluation matrix,the cloud relative preference relation was used to deal with the matrix,and then the information entropy was employed to compute the modifying factors of engineering characteristics importance degree.According to the modifying factors,the final importance degree of engineering characteristics could be determined.An example of analyzing the importance degree of engineering characteristics of a loader PSS was given to demonstrate the effectiveness of the proposed approach.

Key words: product service system, engineering characteristics, quality function deployment, cloud model, relative preference relation