aspg-21-2207-1791472382 20261008151302 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2023 22 4 A. Priya Department of Mathematics, Government Arts College (affiliated to Bharathidasan University), Thanthonimalai, Karur 639005, Tamilnadu, India P. Maragatha Meenakshi Department of Mathematics, Thanthai Periyar Government Arts and Science College (affiliated to Bharathidasan University), Tiruchirappalli 624024, Tamilnadu, India Aiyared Iampan Fuzzy Algebras and Decision-Making Problems Research Unit, School of Science, University of Phayao, 19 Moo 2, Tambon Mae Ka, Amphur Mueang, Phayao 56000, Thailand N. Rajesh Department of Mathematics, Rajah Serfoji Government College, Thanjavur 613005, Tamilnadu, India Suganthi Mariyappan Department of Mathematics, Rajah Serfoji Government College, Thanjavur 613005, Tamilnadu, India 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. 2023 63 81 2207 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.220406 https://www.americaspg.com/journal/21/article/2207 https://www.americaspg.com/storage/11698922927.pdf