关键词: 关键顾客需求, 离群点检测, 邻域粗糙集, 复杂网络

Abstract: Analysis and research on the key customer requirements is an effective means to obtain product (re)design information.Under the circumstance of considering the dynamic of customer requirements’ importance,an identification method of key customer requirements based on outlier detection was proposed.The neighborhood relationships of customer requirements were determined based on the neighborhood rough set theory.The similarity of influencing factors between customer requirements was determined according to the knowledge contained in the neighborhood relationships of customer requirements to construct the neighborhood information network.An evaluation index for the key customer requirements was constructed by combining the Markov random walk theory,and the key customer requirements were identified based on the stable vector.Taking the identification of key customer requirements of the automotive products as an example,the feasibility and effectiveness of the method were verified through comparison and analysis.

Key words: key customer requirement, outlier detection, neighborhood rough set, complex network