A Type-2 Fuzzy TOPSIS-Based Methodology for the Analysis of Investment Decisions

From the beginning of human history to today, all of the decisions that human beings have made in order to make their assets more efficient and valuable can be considered as investment decisions. The aim is always to maximize the return. For this purpose, researchers have developed a wide range of investment theories and decision methodologies. Multi-Attribute Decision Making techniques have found effective use for mathematical optimization to obtain both theoretical and practical results for researchers. In recent years, many extensions have been proposed that use Type-2 fuzzy sets for classical mathematical optimization techniques to address the uncertainty in nature. In this study, we used the Type-2 fuzzy TOPSIS method for the evaluation of alternative stocks in an investment decision. And a case study for the stocks selected from Borsa Istanbul (BIST) is performed to show the applicability of the proposed methodology. The results of the case study are examined, and suggestions for future studies are provided.