Multicriteria group decision making for COVID-19 testing facility based on picture cubic fuzzy aggregation information

The information aggregation of cubic fuzzy numbers and picture have played an important role in decision making. This paper introduces a novel approach to address the problem testing facility COVID-19 under environment. As set is generalized structure handle more uncertainty ambiguity making problems We discuss its various properties. Based on geometric operators Hamacher operations, we introduce some information. Namely, weighted operator, hybrid order operator. Discuss properties defined operators. To verify importance proposed operators, develop multicriteria group (MCGDM) algorithm environment apply this strategy for selection authentic laboratory test. Further validate supremacy our present comparative analysis with pre-existing Results show that technique effective suitable MCGDM problems.