A Multi-Criteria Decision-Making Approach to Financial Performance Analysis of Energy Firms Listed on BIST

Financial performance analysis is of great importance to companies, as it reveals a company's financial health, profitability, and sustainability. In this study, the financial performance analysis of ten different energy companies listed on the Borsa İstanbul Index was analyzed using MCDM (Multi-Criteria Decision Making) methods, and trend analysis was performed using ML (Machine Learning) techniques. The weighting of the criteria, obtained from previous studies was determined using the MEREC (Method based on the Removal Effects of Criteria) method, and the alternative ranking was performed using the Fuzzy Einstein TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. The present study is distinguished from other studies in the literature by virtue of its utilization of MCDM techniques and ML.