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Multi-Criteria Decision Making with the VIKOR and SMARTER Methods for Optimal Seller Selection from Several E-Marketplaces

机译:多标准决策与Vikor和更智能的方法,以获得来自几个电子市场的最佳卖家选择

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Many similar products offered by several sellers in e-marketplace applications make the buyers need to be more selective when shopping. This article addresses the prioritization of the goods sellers alternatives in e-marketplace by integrating the VIKOR with the SMARTER method for the process of multi-criteria decision making (MCDM) by considering various variables as selection criteria. There are five variables of sellers in the e-marketplace that are used as selection criteria, namely: product price, number of products sold, seller score rating, number of reviews with five stars, and location distance. The SMARTER method is used to determine the criteria weight, and the VIKOR model to rank the alternative priorities according to the weighted index. The case studies are conducted on three e-marketplace in Indonesia with the most number of monthly web visitors, namely: Shopee, Tokopedia, and Bukalapak. Finally, integration of SMARTER and VIKOR method allows the buyers to get the good products at competitive prices from the optimal goods sellers in the e-marketplace.
机译:在电子市场应用中的几个卖家提供的许多类似产品使买家在购物时需要更具选择性。本文通过将Vikor与多标准决策(MCDM)的流程集成,通过将各种变量视为选择标准,通过将VIKOR与多标准决策(MCDM)进行更智能的方法来解决电子市场中的商品销售商替代品的优先级。在电子市场中有五个卖家,用作选择标准,即:产品价格,销售的产品数量,卖方分数评级,五星级的评论数量和位置距离。更智能的方法用于确定标准权重,Vikor模型根据加权指数对替代优先级进行排名。案例研究在印度尼西亚的三个电子市场上进行了最多的每月网络访客,即:Shopee,Tokopedia和Bukalapak。最后,智慧和Vikor方法的整合允许买家以电子市场的最佳商品卖家从最佳价格获得良好的产品。

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