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A Kano Model Based Linguistic Application for Customer Needs Analysis

机译:基于Kano模型的语言应用在客户需求分析中的应用

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摘要

Linguistic is the systematic study of language.Now quality doesn’t always mean the “tangible attribute”of a product or service. It may also be linguistic. Thus,linguistic has applied for product design throughcapturing the voice of Customers. Capturing of the voiceof customers has been done in different way, like QualityFunction Deployment (QFD), Kansei Engineering andKano Model regarding product design. Kano Model hastwo dimensional linguistic approaches, which is morevoice capturing capacity than other methods. Reverseattribute study is important for more reliable productdesign for next actions than other attributes of Kanomodel i.e. attractive, must‐be, one‐dimensional andindifferent. Thus, this paper is exclusively study forreverse attribute. For this purpose, a reverse attributebased linguistic approach, which is run in the computersystem for product design regarding Kano model aspectusing threshold numbers of real consumers opinionsconverted into probability through fuzzy concept as aninput of Monte Carlo Simulation system determiningvirtual customers is described in this paper.
机译:语言学是对语言的系统研究。现在的质量并不总是意味着产品或服务的“有形属性”。它也可能是语言上的。因此,语言学已通过捕捉客户的声音而应用于产品设计。捕获客户声音的方式已经不同,例如关于产品设计的QualityFunction Deployment(QFD),Kansei Engineering和Kano Model。卡诺模型具有二维语言学方法,比其他方法具有更大的语音捕获能力。逆向属性研究对于比Kanomodel的其他属性(即有吸引力,必须,一维和冷漠)更可靠的下一步行动产品设计至关重要。因此,本文专门研究反向属性。为此,本文描述了一种基于反向属性的语言学方法,该方法在卡诺模型方面的产品设计计算机系统中运行,使用真实消费者意见的阈值数通过模糊概念转换为概率,作为蒙特卡罗模拟系统确定虚拟顾客的输入。

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