Volume 27 , Issue 2 , PP: 144-168, 2026 | Cite this article as | XML | Html | PDF | Full Length Article
M. Kaviyarasu 1 , J. Angel 2 , Prasanta Kumar Raut 3 , Mana Donganont 4 * , Said Broumi 5
Doi: https://doi.org/10.54216/IJNS.270213
This paper introduces a novel extension of the multi-attributive border approximation area comparison (MABAC) method based on circular bipolar complex dual valued fuzzy uncertain linguistic sets (CBCDVFULSs) using Frank power aggregation operators. In order to effectively integrate aspects of fuzzy set theory, bipolarity, complex-valued, and uncertain linguistic information, this paper presents a novel framework based on CBCD- VFULSs. Frank power aggregation operators is used specifically for CBCDVFULSs in order to handle and aggregate such complex data. These operators maintain the circular and bipolar properties of the fuzzy linguistic data by utilizing the adaptability of Frank t-norms pFT N q and t-conorms pFT CN q. In contrast to current approaches, the suggested method’s superior handling of complex uncertain linguistic environments, flexibility, and applicability are demonstrated through a numerical example. A group message prioritization system for WhatsApp that involve deciding on the priority under complex, uncertain, and bipolar linguistic evaluations is used to demonstrate the efficacy of the suggested approach.
Mlti-attributive border approximation area comparison , Frank power aggregation operator , Frank t-norms pFT N q and t-conorms pFT CN q , Complex uncertain linguistic environments
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