Business has a massive effect on both people and society as a whole in today’s culture. Businessesmake significant contributions to humanity’s general well-being and progress by promoting economic growth,supporting innovation, producing wealth, and addressing social challenges. However, choosing the right locationfor a business is a complex task, involving multiple criteria and qualitative and quantitative factors that heavilyrely on expert judgement. The researchers propose a unique approach called the SVNZN multi-attributeddecision-making method to aid decision-makers in this process. They introduce new operating laws for SVNZNsbased on the sine trigonometric (ST) function, known for its periodicity and symmetry over the origin, makingit favorable for decision-makers over multi-time phase parameters. Additionally, novel AOs such as SVNZNweighted averaging and geometric operators are defined to combine SVNZNs effectively. Based on these AOs,a decision-making technique for MADM problems is presented, and its applicability is demonstrated througha numerical example of selecting the best location for a business. To validate and enhance the understandingof these proposed techniques, the researchers conducted a comprehensive comparison analysis, including asensitivity analysis, considering existing literature on MADM difficulties. Figure 1 provides a thorough graphicalsummary by visually representing all of the contributions and outcomes.