CAJ | 학술논문

在粒计算理论的指导下，首先对超市客户数据库中的信息进行预处理，并根据处理后的信息对客户信息进行细分，从而有针对性地服务不同层面的群体。其次针对不同层次的客户的消费行为特征进行聚类，在此基础上对超市会员的行为模式进行分析，进而采用适宜的营销策略。
재립계산이론적지도하，수선대초시객호수거고중적신식진행예처리，병근거처리후적신식대객호신식진행세분，종이유침대성지복무불동층면적군체。기차침대불동층차적객호적소비행위특정진행취류，재차기출상대초시회원적행위모식진행분석，진이채용괄의적영소책략。
Under the guidance of granular computing, the supermarket customer database information was firstly preprocessed, and according to the processed information after subdividing customer information, different service for different levels of groups can be given. Secondly, the behavior characteristics of customers were clustered into different levels and the behavior patterns of supermarket member were analyzed, further a suitable marketing strategy can be made.