“…With the help of BFS, experts very easily determined their main target, which was impossible under the consideration of classical information. Certain applications of the BFS have been done by distinct intellectuals, for instance, hybrid aggregation operators [16,17], utilization of soft sets [18,19], simple aggregation operators [20][21][22], uniforms [23], 2tuple linguistic sets [24], ordered weighted averaging [25], decision-making [26][27][28][29], Bipolar fuzzy (BF) graph [30,31], multi-criteria DM (MCDM) in the setting of BF theory [32], BF TOPSIS and ELECTRE-I methods [33], and BF hypergraphs [34]. Noticed from decision-making scenario and described information available in the above paragraph, mentioned that the existing theories are limited features to handle awkward and unworthy information, but continuously unsuccessful to handle its fluctuations at a provided phase of time.…”