A fuzzy approach for multi criteria decision making in web recommendation system for e-commerce

Rajhans Mishra
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引用次数: 7

Abstract

Current decade has witnessed a rapid growth in ecommerce and related activities. Web recommendation systems are widely used in e-commerce applications for recommending products to the users. In the current scenario selection of any product depends on multiple criteria, hence it has become a problem of multi criteria decision making. The problem is also reflected in the context of recommendation systems as they are used to decide which product has to be recommended out of several available products. In this paper a problem of multi criteria decision making in the context of web recommendation system has been modeled using a fuzzy approach In real life, most of the important criteria of products have been expressed in linguistic manner. A fuzzy approach is relevant and useful in terms of quantification of linguistic variables. The paper presents a model, using fuzzy approach for multi criteria decision making for web recommendation system.
电子商务web推荐系统中多准则决策的模糊方法
最近十年见证了电子商务和相关活动的快速增长。Web推荐系统在电子商务应用中被广泛应用于向用户推荐产品。在当前场景下,任何产品的选择都依赖于多个标准,因此成为一个多标准决策问题。这个问题也反映在推荐系统的上下文中,因为它们被用来决定从几个可用的产品中推荐哪个产品。本文采用模糊方法对web推荐系统背景下的多准则决策问题进行了建模。在现实生活中,大多数产品的重要准则都是以语言的方式来表达的。模糊方法在语言变量的量化方面是相关的和有用的。本文提出了一个基于模糊方法的web推荐系统多准则决策模型。
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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