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作 者:胡南辉[1] 邓春亮[1] HU Nan-hui;DENG Chun-liang(School of Mathematics,Jiaying University,Meizhou 514015,China)
出 处:《嘉应学院学报》2018年第8期22-26,共5页Journal of Jiaying University
基 金:嘉应学院自然科学研究项目(2011KJM03)
摘 要:将非整秩次秩和比法应用于购物平台综合水平的评价分析.评价指标的权重采用层次分析法确定,并用熵信息进行修正.根据熵信息修正的权重,用非整秩次秩和比法对9个购物平台分成3个级别进行综合评价.最终评价结果表明:综合水平为优等级的是京东和亚马逊;当当,天猫,1号店,唯品会,聚美优品,淘宝为良等级;折800为差等级.评价结果可为消费者选择购物平台提供参考依据.In this study, the non-integral rank sum ratio method was applied to the evaluation and analysis of shopping platform comprehensive level. The weight of evaluation indexes, was determined by the method of analytic hierarchy process(AHP), and was corrected by the information entropy method. Based on the corrected weight, the non-integral RSR method is used to evaluate the comprehensive level of the 9 shopping platforms. The final evaluation results show that the 9 shopping platforms were divided into three levels. Jingdong and Amazon are of the best comprehensive level;Tmall, Dangdang, shop No. 1, vip.com, jumei.com, Taobao of the second level; Fold 800 is of the worst level.The evaluation results can provide reference for consumers to buy online.
分 类 号:O212.1[理学—概率论与数理统计]
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