An adjustable method for decision making problems with neutrosophic soft sets

Neutrosophic soft sets was developed to address uncertainty by taking information into account and using a parameterization tool and neutrosophic logic to analyze three membership functions: truth, indeterminacy and falsehood. For uncertainty issues that arise in the majority of real-world scenarios, neutrosophic soft sets work better. In this paper, using level soft sets of neutrosophic soft sets, we provide an adjustable method for decision-making based on neutrosophic soft sets and provide some illustrated instances. We introduce and explore characteristics of level soft sets. Additionally, we provide the weighted neutrosophic soft sets and explore their potential use in decision-making.