Algorithm for the assessment of energy storage devices using circular intuitionistic fuzzy information-based Dombi aggregation operators

Circular intuitionistic fuzzy sets (C-IFS) have lately been regarded as a modified form of intuitionistic fuzzy sets (I-FS). But they are regarded solely for certain elementary algebraic characteristics. This study enhances C-IFS in Dombi aggregation operators (AOs) by including more mathematical characteristics of algebraic laws. The operators encompass C-IF Dombi weighted averaging (C-IFDWA), C-IF Dombi ordered weighted averaging (C-IFDOWA), C-IF Dombi weighted geometric (C-IFDWG), and C-IF Dombi ordered weighted geometric (C-IFDOWG). Furthermore, we delineate the characteristics of idempotency, monotonicity, and boundedness for the suggested operators. Therefore, to calculate the primary component, we determine the multi-attribute decision-making (MADM) technique utilizing the offered operators for C-IF values (C-IFVs) to augment the quantity of the assessed operators. The proposed approach is validated through a numerical example, illustrating the advantages in terms of flexibility and accuracy. The findings contribute to the advancement of decision-making tools for selecting energy storage systems, offering a robust framework for future applications in the field.