采用智能家居物联网的评估因素：机器人真空吸尘器的混合模糊 MCDM 方法

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Ambient Intelligence and Smart Environments Pub Date : 2024-06-18 DOI:10.3233/ais-230071

Heng-Li Yang, Bo-Yi Li

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引用次数: 0

摘要

近年来，随着信息技术的蓬勃发展，物联网的应用越来越普遍。机器人吸尘器已成为智能家居中的热门代表产品。本研究提出了一种混合模糊多标准决策（MCDM）模型，应用模糊分析网络过程（FANP）和决策试验与评价实验室（DEMATEL）分析了用户在采用机器人吸尘器时所评价的关键因素。结果发现，排在前两位的维度依次是 "认识价值 "和 "功能价值"；排在前五位的因素依次是 "新颖性"、"探索性"、"家庭信息基础设施"、"家庭共识 "和 "可靠性"。确定了重要的影响因素和受影响因素。还讨论了决策因素的性别差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluation factors of adopting smart home IoT: The hybrid fuzzy MCDM approach for robot vacuum

With the vigorous development of information technology, the applications of the Internet of Things (IoT) have become increasingly common in recent years. Robot vacuum has become a popular and representative product in smart homes. This study proposed a hybrid fuzzy multi-criteria decision-making (MCDM) model that applied fuzzy analytic network process (FANP) and decision-making trial and evaluation laboratory (DEMATEL) to analyze the critical factors evaluated by users when adopting a robot vacuum. It was found that the top two dimensions in order are “epistemic value” and “functional value”; and the top five factors in order are “novelty”, “exploratory”, “family information infrastructure”, “family consensus”, and “reliability”. Significant influential and affected factors were identified. Gender differences in decision-making factors are also discussed.

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来源期刊

Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

4.30

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.