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《Journal of Baicheng Normal University》 2019-04
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Analysis on Retailer Members' Consumption Characteristics Based on Fuzzy Mathematics Theory

WANG Jun;YANG Ren-fu;Anhui Finance&Trade Vocational College;  
This paper uses the data analysis function of SQL software,K-means clustering algorithm,fuzzy C-means algorithm,fuzzy comprehensive evaluation,correlation analysis and other methods to analyze the consumption characteristics of the members of large department stores,compares the differences between members and non-members groups by T-test,and establishes the division of members' purchasing power,life cycle and status. The activation rate of inactive members was calculated by analysis method.
【Fund】: 安徽高校自然科学研究项目(KJ2016A011);; 安徽财贸职业学院科学研究项目(2017nhzrb02);安徽财贸职业学院科学研究项目(2017nhzrc03)
【CateGory Index】: F721;F274
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