2026-10-30T01:02:37Zhttps://bayburt-rdlopen.rawdatalibrary.net/oai/request

oai:bayburt-rdlopen.rawdatalibrary.net:bayburt/150172026-10-29T19:19:58Zopenairecom_bayburt_10000col_bayburt_10001

Financial Performance Analysis Using Intuitionistic Fuzzy Logic and Entropy Based Multi – Criteria Decision Making Method: An Application on Energy Companies Traded In BISTGültekin, Ömer FarukYalçın, SelçukKarcıoğlu, ReşatİşletmeEnerji ve Yakıtlarİktisatİşletme FinansAs 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.2020Articlehttps://rdlopen.rawdatalibrary.net/r/bayburt/150171694-7215trManas Journal of Social Studiesinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/15017