The sorting mechanism underlying the traditional evaluation grid method with attractive factors mainly represents the time or the paired comparison method. However, the current approach employed to identify abstract factors of attractiveness may not be comprehensive. The objective of this article is to propose a hybrid method with an integrated fuzzy Kano model and fuzzy importance–performance analysis to evaluate attractive factors. Fuzzy importance–performance analysis is a more accurate quantitative–qualitative method for two-dimensional analysis, and integrated fuzzy Kano model compensates for the low-resolution problem of the traditional Kano model. A combination of both models arrives at a more comprehensive and reliable evaluation grid method evaluation mechanism. The results indicate that the attractive factors sorted through integrated fuzzy Kano model–fuzzy importance–performance analysis have deconstructed abstract factors and feature factors of the customer service robot. Moreover, the key factors of the products sorted by through integrated fuzzy Kano model–fuzzy importance–performance analysis provide a better understanding of customer expectations associated with the products, which consequently enables developers and designers to accurately understand the design style and conceive new ideas.

中文翻译：

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结合模糊Kano模型和模糊重要性-性能分析分析新产品的吸引力因素

传统的具有吸引力因素的评价网格方法的排序机制主要表现为时间或配对比较方法。然而，目前用于识别抽象吸引力因素的方法可能并不全面。本文的目的是提出一种综合模糊 Kano 模型和模糊重要性 - 性能分析的混合方法来评估有吸引力的因素。模糊重要性-性能分析是一种更准确的二维分析定量-定性方法，综合模糊Kano模型弥补了传统Kano模型分辨率低的问题。两种模型的结合形成了更全面、更可靠的评估网格法评估机制。结果表明，通过集成模糊Kano模型-模糊重要性-性能分析排序的吸引力因素解构了客户服务机器人的抽象因素和特征因素。此外，通过集成的模糊Kano模型-模糊重要性-性能分析对产品的关键因素进行排序，可以更好地了解与产品相关的客户期望，从而使开发人员和设计人员能够准确了解设计风格并构思新想法。