Research on the Evaluation of Product Quality Perceived Value Based on Text Mining and Fuzzy Comprehensive Evaluation

Lifeng He, Ning Zhang, Lemin Yin
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引用次数: 3

Abstract

Over the past ten years, with the deepening and expansion of the application of Internet technology, more and more customers browse a lot of online reviews to understand the product and service reputation. Online reviews can provide decision support for consumers to purchase satisfactory product and the product customer satisfaction is mainly determined by product quality perceived value. This article will establish a new quality perceived value evaluation method by combining relatively mature test mining method with fuzzy comprehensive evaluation method. This evaluation model will be user oriented and more reflect the real needs of users. The new evaluation model will provide better decision support for consumers to buy satisfactory product.
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基于文本挖掘和模糊综合评价的产品质量感知价值评价研究
近十年来,随着互联网技术应用的深入和扩展,越来越多的客户通过浏览大量的在线评论来了解产品和服务的口碑。在线评论可以为消费者购买满意的产品提供决策支持,产品顾客满意度主要由产品质量感知价值决定。本文将比较成熟的试验挖掘法与模糊综合评价法相结合,建立一种新的质量感知价值评价方法。这种评价模型将以用户为导向,更能反映用户的真实需求。新的评价模型将为消费者购买满意的产品提供更好的决策支持。
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