As the world is fighting against the continuous spread of the COVID-Sars-2 virus and the consequences the pandemic has brought about on economic, political and societal levels, the emergence of the vaccination programs seems to be the biggest hope for a quick return to, popularly called, the “new normal”.

As it is not feasible to vaccinate at the same time the whole population, the states, provinces and cities had arranged – though, admittedly, taking into consideration limited numbers of criteria - homogenous groups of citizens, who, labelled as “risk groups”, have been chosen as those who will be receiving the vaccination before others, adding to the already existing feelings of chaos and shortage.

We want to address the issue that despite the access to the expertise and knowledge of intradisciplinary committees, we still do not have a satisfactory answer regarding the further steps for the vaccination programs. We believe it is due to the persistence of the binary way of reasoning, with its tendency to overlook the complexity of the issue and emphasize objectivity while neglecting the subjective factors that cannot be easily quantified.

For that very reason, we propose the application of the theories of uncertainty with the support of the fuzzy subset theory, which will result in the creation of the humanist algorithms of clustering of populations, allotment of different kinds of vaccine for diverse persons in the groups and, finally, ranking for the priority of vaccination. This approach will allow designing a vaccination model to that will allow to maintain, to the highest possible level, the principles of ethics, morale and solidarity, and efficiency and effectiveness.

随着世界正在与 COVID-Sars-2 病毒的持续传播以及大流行给经济、政治和社会层面带来的后果作斗争，疫苗接种计划的出现似乎是快速回归的最大希望。 ，俗称“新常态”。

由于不可能同时为全体人口接种疫苗，各州、省和市已经安排了——虽然，诚然，考虑到标准数量有限——同质的公民群体，他们被标记为“风险群体”，被选为将在其他人之前接种疫苗的人，增加了已经存在的混乱和短缺的感觉。

我们想要解决的问题是，尽管可以获得学科内委员会的专业知识和知识，但我们仍然没有对疫苗接种计划的进一步步骤给出满意的答案。我们认为，这是由于二元推理方式的坚持，倾向于忽视问题的复杂性，强调客观性，而忽视不易量化的主观因素。

正是出于这个原因，我们建议在模糊子集理论的支持下应用不确定性理论，这将导致创建人群聚类、为群体中的不同人群分配不同种类的疫苗的人文主义算法最后，对疫苗接种的优先顺序进行排名。这种方法将允许设计一种疫苗接种模型，以将道德、士气和团结以及效率和有效性的原则保持在尽可能高的水平。