A Systematic Review on Fuzzy-Based Multi-objective Linear programming Methodologies: Concepts, Challenges and Applications

This systematic review aims to evaluate the efficacy of fuzzy multi-objective optimization techniques in supporting decision-making in financial portfolio management under conditions of uncertainty. The review will critically appraise and compare different approaches to identify the most suitable technique for addressing the challenges posed by uncertain environments. Specifically, the review will investigate the use of mathematical models to find the optimal balance between competing objectives, such as maximizing return while minimizing risk, and provide a range of possible solutions based on different levels of uncertainty. Real-life decision-making scenarios involving the selection of investment options, such as stocks, bonds, mutual funds, or real estate, in the face of economic instability, political unrest, or natural disasters will be examined to provide practical insights. Through this review, we aim to contribute to the body of knowledge regarding effective strategies for financial portfolio management under conditions of uncertainty.