Evaluation and Prioritization of Mutual Funds Using Intuitionistic Fuzzy Analytic Hierarchy Process
Year: 2025
Type: article
Abstract: Investment has become increasingly important for individuals in today’s economic landscape, particularly regarding the growth of the capital market. A primary concern for investors is selecting the best investment options. When faced with complex decisions, such as choosing a mutual fund, multi-criteria decision-making (MCDM) methods can be used to prioritize options and make optimal choices. This study focuses on the Intuitionistic Fuzzy Analysis Hierarchy Process (IFAHP) technique. Given the significance of investment in the current economy, this study aims to apply and describe the IFAHP technique for ranking mutual funds listed on the Tehran Stock Exchange. A total of 20 mutual funds were selected based on their size and superior performance compared to other mutual funds, utilizing statistics published by the Financial Information Processing Center of Iran. The mutual funds were evaluated and prioritized using the IFAHP technique, resulting in the following cumulative weights and final weights: Moshtarek Agah (0.6360, ranked 1), Sepehr Aval Bazar (0.6248, ranked 2), and Ofoghe Melat (0.6234, ranked 3) holding the highest priorities. Conversely, the mutual funds Firozeh Movafaghiat (0.4550, ranked 20), Toseh Atlas Mofid (0.4584, ranked 19), and Moshtarek Kargozari Bank Meli Iran (0.4803, ranked 18) have the lowest priorities for investment. Therefore, according to these results and their desired criteria, investors can identify the most suitable options for their investments to maximize their profits.
Institution: University of Shahrood
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4408103075