Year: 2025
Type: article
Abstract: In engineering and decision sciences, trapezoidal-valued neutrosophic fuzzy numbers (TzVNFNs) have become effective tools for managing imprecision and uncertainty in multi-attribute group decision-making (MAGDM) problems. This work introduces accumulation operators based on the Dombi t-norm (DTn) and Dombi t-conorm (DTcn) specifically designed for TzVNFNs. These operators enhance the flexibility, consistency, and fairness of the aggregation process. To demonstrate their practical applicability, we propose three novel geometric aggregation operator’s namely, the trapezoidal-valued neutrosophic fuzzy Dombi weighted geometric (TzVNFDWG), the trapezoidal-valued neutrosophic fuzzy Dombi ordered weighted geometric (TzVNFDOWG), and the trapezoidal-valued neutrosophic fuzzy Dombi hybrid Geometric (TzVNFDHG) operators. These are incorporated into a systematic MAGDM framework to support the selection of optimal locations for charging stations. Comparative analysis with current decision-making methodologies highlights the efficacy and benefits of the suggested method. The suggested method provides a flexible and mathematically based choice framework designed for uncertain condition.
Source: Symmetry
DOI: 10.3390/sym17081195
Author: Mohammed Alqahtani
Institution: Saudi Electronic University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4412690246