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Pythagorean m-polar fuzzy topology with TOPSIS approach in exploring most effectual method for curing from COVID-19
International Journal of Biomathematics ( IF 2.4 ) Pub Date : 2020-08-07 , DOI: 10.1142/s1793524520500758
Khalid Naeem 1 , Muhammad Riaz 2 , Xindong Peng 3 , Deeba Afzal 1
Affiliation  

The corona virus disease 2019 (COVID-19) has emerged as a fatal virus. This deadly virus has taken the whole world into clutches and many people have embraced death due to this invincible bug. The death toll is rising with every tick of time. The aspiration behind this article is to discover the preventive measure that should be taken to cope with this intangible enemy. We study the prime notions of novel sort of topology accredited Pythagorean [Formula: see text]-polar fuzzy topology along with its prime attributes. We slightly amend the well-acknowledged multi-criteria decision analysis tool TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to befit the proposed multi-criteria group decision making (MCGDM) problem of exploring the most effective method for curing from COVID-19 employing the proposed model.

中文翻译:

使用 TOPSIS 方法的毕达哥拉斯 m 极模糊拓扑探索最有效的 COVID-19 治疗方法

2019 年冠状病毒病 (COVID-19) 已成为一种致命病毒。这种致命的病毒已经将整个世界带入了魔掌,许多人都因为这个无敌的虫子而拥抱了死亡。死亡人数随着时间的推移而上升。本文背后的愿望是发现应对这种无形敌人应采取的预防措施。我们研究了一种新型拓扑认可的毕达哥拉斯[公式:见文本]的主要概念——极地模糊拓扑及其主要属性。我们稍微修改了公认的多标准决策分析工具 TOPSIS(通过与理想解决方案相似的优先顺序技术),以适应提出的探索最有效治愈 COVID 方法的多标准群体决策 (MCGDM) 问题-19 采用建议的模型。
更新日期:2020-08-07
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