@article{Farhad2026, 
author = {Asma Farhad and Haolun Wang and Kifayat Ullah and Hanen Karamti and Maria Akram},
title = {Algorithm for the assessment of energy storage devices using circular intuitionistic fuzzy information-based Dombi aggregation operators},
year = {2026},
journal = {Fuzzy Information and Engineering},
volume = {18},
number = {1},
pages = {74-103},
keywords = {circular intuitionistic fuzzy sets (C-IFS), intuitionistic fuzzy sets (I-FS), Dombi t-norm, aggregation operators (AOs), energy storage devices, decision making},
url = {https://www.sciopen.com/article/10.26599/FIE.2026.9270008},
doi = {10.26599/FIE.2026.9270008},
abstract = {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.}
}