Medication Decision for Cardiovascular Disease Through Fermatean Fuzzy Bipolar Soft Set

Abstract

Cardiovascular Disease (CVD) is the leading priority critical diseases due to its uncertainty especially it becomes more dangerous in presence of the current behavior of corona virus. To tackle or handle the uncertainties behavior, Fermatean Fuzzy Bipolar Soft Set (FFBSS) theory plays vital role in assisting the experts/specialists to take the proper decision well in time which is mathematical traceable. The CVD is the situation of affecting the normal functioning of the heart which is the result of the multi attributes irregular functionality. Thus, the paper proposed the medication decision process of CVD by the use of FFBSS. The FFBSS can deal with decision autonomy through the inclusion of the expertise, scenario based circumstances and the recovery rate of the patient with the assessment of the risk factors.