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A product recommendation method using possibility distributions

机译:使用可能性分布的产品推荐方法

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摘要

This paper proposes a new ranking method based on the possibility distribution and the OWA operator. Subjective data processing is well known as an important approach to promote mutual understanding between customers and providers. In Kansei engineering, the conventional approaches mainly rely on the multivariable analysis models. In this paper, we use a descriptive approach what does not require a model, considering the vagueness on the subjective data. This approach can be also applied to the increasing subjective data.
机译:本文提出了一种基于可能性分布和OWA算子的新排序方法。众所周知,主观数据处理是一种促进客户与提供者之间相互理解的重要方法。在Kansei工程中,常规方法主要依赖于多变量分析模型。在本文中,考虑到主观数据的模糊性,我们使用不需要模型的描述性方法。这种方法也可以应用于不断增加的主观数据。

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