Sensitivity Analysis of Portfolio Selection Model Based on Z-Number Information

This paper explores the sensitivity analysis of a portfolio selection model using Z-number valued information, crucial in today’s uncertain investment landscape. It assesses the model’s responsiveness to changes in information reliability concerning various alternatives and criteria. The study reveals that the proposed methodology consistently yields optimal outcomes, with minor fluctuations in information reliability having negligible impacts on rankings. Notably, alterations in the reliability of risk criteria can significantly influence the ranking of specific alternatives. This investigation provides valuable insights into the model’s robustness in handling Z-numbered data, enhancing our understanding of its behavior under varying input conditions and its applicability in complex decision-making scenarios. The significance of this study lies in its ability to address contemporary challenges faced by investment professionals and decision-makers. It offers insights and methodologies to enhance the precision and effectiveness of portfolio selection in an uncertain environment, ultimately contributing to more informed and resilient investment strategies.