Internet of Things (IoT) is mainly used to connect different embedded objects over the internet to make communication between them possible. With the help of IoT, devices find a way to interact, work together, and study from each other's experiences just like humans do. IoT finds its way in applications such as smart home, smart city, healthcare, agriculture, and so on. The name smart home arises due to the automation of the normal home appliances to make it smart. When the devices of the normal smart home are connected via the internet, they become a part of the IoT. The smart home should ensure the following characteristics such as security, comfort, convenience, and energy saving. The article presents a technique for IoT controlled devices in a smart home using context-based fuzzy logic. Fuzzy logic is mainly used to monitor and analyze the real-time data collected from the sensors in the smart homes from various environments. Context-based fuzzy logic uses a multivalued logic principle which differs from the normal Boolean logic, where the truth value lies between only zero and one (ie, true or false). The proposed smart home is implemented in a real case scenario where it yields an accuracy of 90.5%, response time of 6.41 milliseconds, and an F-measure of 97%.

中文翻译：

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使用基于上下文的模糊逻辑自动化现代家庭中的智能物联网设备

物联网（IoT）主要用于通过互联网连接不同的嵌入式对象，使它们之间的通信成为可能。在物联网的帮助下，设备可以像人类一样找到一种交互、协作和学习彼此经验的方式。物联网在智能家居、智能城市、医疗保健、农业等领域找到了应用。智能家居这个名字的出现是因为普通家用电器的自动化使其变得智能。当普通智能家居的设备通过互联网连接时，它们就成为物联网的一部分。智能家居应保证安全、舒适、方便、节能等特点。本文介绍了一种使用基于上下文的模糊逻辑来控制智能家居中物联网设备的技术。模糊逻辑主要用于监控和分析智能家居中传感器从各种环境中收集的实时数据。基于上下文的模糊逻辑使用与普通布尔逻辑不同的多值逻辑原理，其中真值仅在零和一之间（即真或假）。所提出的智能家居在真实案例场景中实现，准确度为 90.5%，响应时间为 6.41 毫秒，F 测量为 97%。