私人购物网站与基于熵的Moosra方法的用户数据的比较

Günay Kiliç, Arzu Organ
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引用次数: 1

摘要

电子商务在贸易总额中所占的比重越来越大。电子商务范围内的服务和产品种类繁多。这些产品和服务根据其销售形式和产品组进行细分。在本章中,只对在线销售组中的私人购物网站进行了研究。私人购物网站是会员在限定时间内购买限定库存的特定商品的网站。在本章中,六个领先的网站被定义为备选的比较目的。当对文献中的研究进行检验时,可以看到,为了考虑标准对特殊购物网站进行分类,使用了多准则决策方法。采用熵值法确定研究中确定的各主要主题下各指标的权重。从多标准决策方法中选择Moosra方法对备选网站进行排名。因此,备选地点被单独列出,然后检查这些群体之间是否存在关系。
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Comparison of Private Shopping Sites With User Data From Entropy-Based Moosra Method
The share of electronic commerce (e-commerce) in total trade is increasing. There are many kinds of services and products within the scope of e-commerce. These products and services are subdivided according to their sales forms and product groups. In this chapter, only the private shopping websites in the online sales group were examined. Private shopping sites are the sites where the members buy certain products with limited stock in limited time. In this chapter, six leading sites are defined as alternatives for the purpose of comparison. When the studies in the literature are examined, it is seen that multi-criteria decision making methods are used in order to sort the special shopping sites by taking into consideration the criteria. Entropy method was used to determine the weights of the criteria under each main topic determined in the study. Moosra method was chosen from multi-criteria decision making methods in order to rank alternative websites. As a result, alternative sites were listed separately and then examined as to whether there was a relationship between these groups.
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