Multi-attribute decision-making method based on bipolar complex fuzzy Maclaurin symmetric mean operators

The framework of prevailing Maclaurin symmetric mean (MSM) operator is the modified tool of the traditional aggregation function is a massive significant and influential, used for diagnosing the relationships among a finite term of attributes. Another hand, the conception of bipolar complex fuzzy strategy is a novel and original technique that exists with well-known characteristics and advantages in the circumstance of fuzzy set theory. In this regard, we evaluate the novel methodologies of bipolar complex fuzzy MSM (BCFMSM), bipolar complex fuzzy weighted MSM (BCFWMSM), bipolar complex fuzzy dual MSM (BCFDMSM), and bipolar complex fuzzy weighted dual MSM (BCFWDMSM), and explained their significant properties with numerous powerful results. Additionally, under the spirit of the invented operators, a supported decision-making procedure is diagnosed in the occurrence of bipolar complex fuzzy settings. After all, we compare the diagnosed operators with veracious prevailing works with the help of an example which is to evaluate the supremacy and dominancy of the developed approaches.