识别智能手机用户满意度的模糊认知图

V. Gerogiannis, S. Papadopoulou, E. Papageorgiou
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引用次数: 4

摘要

模糊认知图(FCM)是一种基于人类知识和经验的高效知识表示和推理方法。在这项工作中,构建了一个FCM模型来表示用户对信息技术(IT)产品(如智能手机)的满意度感知。首先从文献中推导出一组与智能手机特性和功能相关的关键因素来构建FCM模型。然后,向随机选择的一些(当前/潜在)智能手机用户分发一份问卷。用户的偏好被转换成模糊数,代表每个相应因素的满意度,因为它是由个人用户表达的。通过计算这些模糊数之间的相似性/不相似性来指定因素之间因果关系的强度。产生的FCM表明智能手机的功能和权衡,影响更多的感知用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fuzzy Cognitive Map for Identifying User Satisfaction from Smartphones
Fuzzy Cognitive Map (FCM) is an efficient knowledge representation and reasoning method, which is based on human knowledge and experience. In this work, a FCM model is constructed to represent users' perceptions of satisfaction from Information Technology (IT) products, such as smart phones. A set of key factors, related with smart phone characteristics and functionalities, was first derived from the literature to construct the FCM model. Then, a questionnaire was disseminated to a number of randomly selected (current/potential) smart phone users. Users' preferences were converted into fuzzy numbers representing the degree of satisfaction, as it was expressed by individual users, from each corresponding factor. Strengths of causal relationships between factors were specified by calculating similarities/dissimilarities between these fuzzy numbers. The produced FCM indicates the smart phone functionalities and trade-offs which influence more the perceived user satisfaction.
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