aspg-21-2093-1791472390 20261008151310 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2023 22 1 M. Palanikumar Department of Mathematics, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, 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 Said Broumi Laboratory of Information Processing, Faculty of Science Ben MSik, University of Hassan II, Casablanca, Morocco Lejo J Manavalan Department of Mathematics, Little Flower College-680103, Guruvayoor, India K. Sundareswari Department of Mathematics, Al- Ameen Engineering College, Erode In contrast to the Pythagorean interval valued fuzzy soft set and the neutrosophic interval valued fuzzy soft set, the Pythagorean neutrosophic interval valued fuzzy soft set is a generalization of these sets. We discuss aggregating PyNIVFS decision matrixes by using aggregated operations. The VIKOR method, which is an extension of neutrosophic fuzzy soft sets, is a powerful method for evaluating multi-criteria group decision making. The score function in this approach is based on the aggregation of the VIKOR method to a PyNIVFSpositive and negative solution. Optimal alternatives are introduced under closeness. An investment company plans to purchase some shares of the top five companies in the stock exchange to invest some money on. In order to minimize this factor, they decided to invest some of their cash in percentages of 30 dollars, 25 dollars, 20 dollars, 15 dollars and 2023 104 113 2093 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.220108 https://www.americaspg.com/journal/21/article/2093 https://www.americaspg.com/storage/91695061800.pdf