Fuzzy System For Covid-19 Disease Detection

A. Rehman, Hafiz Muhammad Haroon, J. Malik, Afia Saeed, Asad Ali, Karamath Ateeq
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Abstract

In this research, by analysis the problem for detection of corona virus (COVID-19) in person by fuzzy method.as the virus is spreading very quickly in last few months around the world. So, in this all scenario the artificial intelligence is trying to involve helping the world for detection and predication of virus with different method and its algorithms. The algorithms that are used for solving out this problem is many like form fuzzy or Neural Network. But here in this paper trying to solve out this by fuzzy implementation and its techniques on the basis of some inputs and get the output as result or prediction level for our problem.
新型冠状病毒病模糊检测系统
本研究通过分析用模糊方法进行冠状病毒(COVID-19)人体检测的问题。由于病毒在过去几个月里在世界各地迅速传播。因此,在这种情况下,人工智能正试图通过不同的方法和算法帮助世界检测和预测病毒。用于解决这一问题的算法有许多,如模糊算法或神经网络算法。本文试图通过模糊实现及其技术,在一定输入的基础上解决这一问题,并将输出作为问题的结果或预测水平。
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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