ABSTRACT

The paper’s goal is to propose an IoT assisted Cyber-Physical System with a fault detection technique using a fuzzy algorithm for the supply chain management (SCM). Mathematical models are important for detecting faults. Devicescan contribute to device vulnerabilities. Propertiesof the components in an embedded application can identify defective components in cyber systems of SCM. In this paper linear approximation Boolean fuzzifier model can detect faults in cyber systems of SCM. The rough-set approximation principle with the fuzzy membership functions not only eliminates the ambiguity in the detection method, whereas it helps to classify faulty components in IoT assisted Cyber-Physical System.

摘要

本文的目标是提出一种物联网辅助网络物理系统，该系统具有使用模糊算法进行供应链管理 (SCM) 的故障检测技术。数学模型对于检测故障很重要。设备可能会导致设备漏洞。嵌入式应用程序中组件的属性可以识别 SCM 网络系统中的缺陷组件。在本文中，线性逼近布尔模糊器模型可以检测单片机网络系统中的故障。具有模糊隶属度函数的粗糙集近似原理不仅消除了检测方法中的歧义，而且有助于对物联网辅助信息物理系统中的故障组件进行分类。