TOPSIS approach for MCGDM based on intuitionistic fuzzy rough Dombi aggregation operations

Atanassov presented the dominant notion of intuitionistic fuzzy sets which brought revolution in different fields science since their inception. The operations t-norm and t-conorm introduced by Dombi were known as operational parameter possesses natural flexibility with resilience variability. advantage is very important to express experts’ attitude decision-making. This study aims propose rough TOPSIS method based on operations. For this, first we some new laws aggregate averaging geometric aggregation operators under hybrid sets. On proposed concept, present weighted averaging, ordered operators. Moreover, developed geometric, basic related properties are detailed. Then algorithm for MCGDM presented. By applying accumulated operator, numbers converted into numbers. massive outbreak pandemic COVID-19 promoted challenging scenario world organizations including scientists, laboratories, researchers conduct special clinical treatment strategies prevent people from pandemic. Additionally, an illustrative example solve problem diagnose most severe patient TOPSIS. Finally, a comparative analysis model existing methods show applicability superiority model.