Volume 22 , Issue 4 , PP: 63-81, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
A. Priya 1 * , P. Maragatha Meenakshi 2 , Aiyared Iampan 3 , N. Rajesh 4 , Suganthi Mariyappan 5
Doi: https://doi.org/10.54216/IJNS.220406
The q-rung neutrosophic vague soft set (q-rung NVSS) is a generalization of the neutrosophic vague soft set (NVSS) and the vague soft set (VSS). The TOPSIS aggregated operation (AO) was used to discuss the q-rung NVSS. As an extension of VSS, the TOPSIS method effectively makes multi-criteria group decision making (MCGDM). With a score function, the goal is to find a positive and negative ideal solution based on q-rung NVSS. Closeness values are determined by presenting optimal alternatives. We provide practical examples to support our conclusions. This results in the outcome of the models for which q is provided. Considering the validity and usefulness of the models under consideration can be achieved by comparing them with those that have been proposed. Recent discoveries have generated quite a bit of interest and fascination.
q-rung NVSS , MCGDM , TOPSIS , aggregation operator.
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