A fuzzy logic Approach to predict the best fitted apparel size in online marketing

E. Nasibov, Alper Vahaplar, Murat Demir, B. Okur
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引用次数: 7

Abstract

Online marketing has been showed dramatic increase related with the usage proportion of internet. Availability of wide range of products and comparing different brands and products with just a few click, makes online marketing even more desirable. Apparel is one of the product group that physical experience directly affect consumer buying behavior. On the other hand, return of online purchased apparel cause extra cost and time for suppliers and consumers. Size of apparels may differ based on brands and lead consumer in confusion. In this study, we aimed to compare measurements of the consumer and the product regardless of brands' size using with fuzzy approaching manner and concluded with a fitness ratio in terms of fuzzy numbers. By this way, online shoppers will be able to find best fitted products for their body measurements in each brand.
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网络营销中最适合服装尺码预测的模糊逻辑方法
随着互联网的使用比例的增加,网络营销呈现出急剧增长的趋势。广泛的产品可用性,只需点击几下就可以比较不同的品牌和产品,这使得在线营销更加可取。服装是实体体验直接影响消费者购买行为的一类产品。另一方面,网上购买的服装退货会给供应商和消费者带来额外的成本和时间。不同品牌的服装尺码可能会有所不同,这会让消费者感到困惑。在本研究中,我们旨在使用模糊逼近的方式来比较消费者和产品的测量值,而不考虑品牌的大小,并得出模糊数的适应度比。通过这种方式,在线购物者将能够在每个品牌中找到最适合自己身材的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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