Financial Performance Analysis Using Intuitionistic Fuzzy Logic and Entropy Based Multi – Criteria Decision Making Method: An Application on Energy Companies Traded In BIST

As a result of the rapid development of technology, the need for energy increases day by day. Increased energy demand caused the energy sector to have a vital importance in the economic development processes of countries. In this study, the financial performance of 8 energy companies traded in BIST are analyzed using intuitionistic fuzzy logic and multi-criteria decision making techniques. In the study, the data, the real data of the 8 energy companies between 2013 and 2017 were used. In decision process, 5 main criteria and 13 sub-criteria were used as growth, activity, leverage, profitability and liquidity. As a result of the analysis, Odaş Elektrik A.Ş showed the best performance among 8 energy companies, while Ayen Elektrik A.Ş showed the worst performance.