Yang Yancheng, Nazir Shah, Khalil Wajeeha
Henan University of Science and Technology, Luoyang, China.
Luoyang Institute of Science and Technology, Luoyang, China.
Soft comput. 2022;26(16):8077-8088. doi: 10.1007/s00500-022-07064-1. Epub 2022 May 5.
Several people around the world have died from the coronavirus (COVID-19) disease. With the increase in COVID-19 cases, distribution, and deaths, much has occurred regarding the ban on travel, border closure, curfews, and the disturbance in the supply of services and goods. The world economy was severely affected by the spread of the virus. Every day, new discussions and debates started, and more people were in fear. Occasionally, unconfirmed information is shared on social media sites as if it were accurate information. Sometimes, it becomes viral and disturbs people's emotions and beliefs. Fake news and rumors are widespread forms of unconfirmed and false information. This type of news should be tracked speedily to prevent its negative impact on society. An ideal system is the dire need of modern-day society to evaluate the Internet rumors on COVID. Therefore, the current study has considered a probabilistic approach for evaluating the Internet rumors about COVID. The fuzzy logic tool in MATLAB was used for experimental and simulation purposes. The results revealed the effectiveness of the proposed work.
世界各地已有数人死于冠状病毒（COVID-19）疾病。随着COVID-19病例、传播范围和死亡人数的增加，在旅行禁令、边境关闭、宵禁以及服务和商品供应受到干扰等方面发生了许多情况。世界经济受到病毒传播的严重影响。每天都会引发新的讨论和辩论，越来越多的人感到恐惧。偶尔，未经证实的信息会在社交媒体网站上传播，就好像它是准确信息一样。有时，它会迅速传播并扰乱人们的情绪和信念。假新闻和谣言是未经证实和虚假信息的普遍形式。这类新闻应迅速追踪，以防止其对社会产生负面影响。一个理想的系统是现代社会评估关于COVID的网络谣言的迫切需求。因此，当前的研究考虑了一种概率方法来评估关于COVID的网络谣言。MATLAB中的模糊逻辑工具用于实验和模拟目的。结果表明了所提出工作的有效性。
