A method to multi-attribute decision making technique based on Dombi aggregation operators under bipolar complex fuzzy information

Bipolar complex fuzzy (BCF) is one of the massive, important, and dominant technique, which has been used for managing awkward and inconsistent information in genuine life dilemmas. BCF information has efficaciously employed it in the region of distinct circumstances. Additionally, the theory of Dombi aggregation (DA) operator is a massively modified version of the averaging/geometric operators to cope with unrealistic data and due to its structure, certain intellectuals have utilized it in the environment of distinct regions. Keeping the advantages of the prevailing ideas, the major contribution of this analysis is to elaborate the technique of BCF Dombi weighted averaging, BCF Dombi ordered weighted averaging, BCF Dombi hybrid averaging, BCF Dombi weighted geometric, BCF Dombi ordered weighted geometric, BCF Dombi hybrid geometric operators, and demonstrated their beneficial properties. After that, multi-attribute decision making (MADM) is a part of the decision-making procedure, which has been used for determining the best optimal from the family of alternatives. Based on the above analysis, we utilized the theory MADM technique under elaborated works by using the BCF information. Finally, we present a numerical example to verify the demonstrated method. Finally, we interpreted a comparative assessment of our work with existing work to demonstrate its usefulness and practicability.