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The evaluation for perceived quality of products based on text mining and fuzzy comprehensive evaluation

机译:基于文本挖掘和模糊综合评价的产品感知质量评价

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摘要

With the growth of the Internet and electronic commerce, more and more customers browse online reviews to understand products and service reputation. Online reviews can provide decision support for customers to purchase a product that is to their satisfaction. Manufacturers can also mine and analyze valuable information in favor of design and production from online reviews. Customer satisfaction is mainly determined by perceived quality of products. Hence, this study establishes a new method to evaluate the perceived quality by combining text mining with a fuzzy comprehensive evaluation method. The new evaluation method offers ideas and methods for future work to combine text mining technology with traditional evaluation methods. Customers can also make better purchase decisions and manufacturers design and manufacture better products by using this evaluation method.
机译:随着Internet和电子商务的发展,越来越多的客户浏览在线评论以了解产品和服务声誉。在线评论可以为客户购买满意的产品提供决策支持。制造商还可以从在线评论中挖掘和分析有价值的信息,以进行设计和生产。客户满意度主要取决于产品的感知质量。因此,本研究建立了一种将文本挖掘与模糊综合评价方法相结合的评价感知质量的新方法。新的评估方法为将文本挖掘技术与传统评估方法相结合的未来工作提供了思路和方法。客户还可以使用此评估方法做出更好的购买决策,并且制造商设计和制造更好的产品。

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