In this trying time for the world battling different variants of the COVID'19 pandemic, different intervention strategies are being taken by government, to limit the spread of infection. Closing educational institutes, stay at home orders, campaigns for emphasis on vaccination, usage of medical mask and frequently sanitizing hands, etc. are the endeavors made by the authorities to decrease the number of cases in the country. In this regard, the contribution aims to help the decision-makers to identify a potential prevention strategy, based on public acceptance and intervention effectiveness. To achieve this objective, feasible judgments of professionals from three different sectors are brought together through meetings. Opinions, based on ten criteria, are recorded in linguistic form for prioritizing six alternatives. The linguistic terms are then evaluated and manipulated by entailing triangular fuzzy numbers and a group multi-criteria decision making (GMCDM) approach. After using the fuzzy analytical hierarchy process (F-AHP) for the complex decisions, the fuzzy VIšekriterijumsko KOmpromisno Rangiranje method (F-VIKOR) is utilized to attain the closest ideal stratagem. Consequently, through the ranking orders of defuzzified scores, intuitive preference of compromise solutions is suggested. The tactic gaining more priority with respect to the group utility to the majority and F-VIKOR index is complete lockdown for the short term. Furthermore, a comparison analysis is also added in the discussion to verify the attained prioritized outcomes. This comparative study is carried out through the technique for order of preference by similarity to ideal solution (TOPSIS), which evidently produces the same preference of alternatives. In addition, this strategy can be apparently discovered to be an effective strategy adopted by different countries in successfully decreasing the number of cases.

在世界与 COVID'19 大流行的不同变体作斗争的这段艰难时期，政府正在采取不同的干预策略来限制感染的传播。关闭教育机构、居家令、强调接种疫苗的运动、使用医用口罩和经常洗手等是当局为减少该国病例数所做的努力。在这方面，该贡献旨在帮助决策者根据公众接受度和干预有效性确定潜在的预防策略。为了实现这一目标，三个不同领域的专业人士通过会议汇集了可行的判断。基于十个标准的意见以语言形式记录下来，以便对六个备选方案进行优先排序。然后通过包含三角模糊数和组多标准决策（GMCDM）方法来评估和操作语言术语。在对复杂决策使用模糊层次分析法 (F-AHP) 后，利用模糊 VIšekriterijumsko KOmpromisno Rangiranje 方法 (F-VIKOR) 来获得最接近的理想策略。因此，通过去模糊化分数的排序顺序，建议了妥协解决方案的直观偏好。相对于大多数人和 F-VIKOR 指数的群体效用而言，获得更多优先权的策略是短期完全锁定。此外，讨论中还添加了比较分析，以验证获得的优先结果。这项比较研究是通过与理想解决方案相似的偏好排序技术 (TOPSIS) 进行的，这显然产生了相同的备选方案偏好。此外，这一策略显然是各国成功减少病例数所采用的有效策略。