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In the study it is aimed to measure the performance of five participation banks operating in Turkey as of 2018 and six participation banks operating as of 2019 with MULTIMOORA method and MAUT method which are among the multi-criteria decision-making methods using CAMELS ratios. For this purpose, the rates evaluated within the scope of CAMELS are calculated. Consolidated financial statements and independent audit reports for the two separate accounting periods ended as of December 31, 2018 and December 31, 2019, and the consolidated balance sheet and income statements of December 31, 2018 and December 31, 2019 are used in the calculation of the ratios. After the calculation, the ratio directions are determined. The rates found with 2018 data are integrated with the MULTIMOORA method and the participation banks are ranked and it is determined that Vakıf Participation Bank takes the first place. The rates found with 2019 data are listed with the help of the MAUT method in this ranking, it is seen that Kuveyt Türk Participation Bank takes the first place. [ABSTRACT FROM AUTHOR]

There are many different factors that should be taken into account for understanding the performance of a manufacturing company. These factors should be analysed together. Evaluation factors are determined by interviews with the financial experts at the banks in addition to the literature survey. The evaluation factors that are determined are 15 financial ratios related to liquidity ratios, financial structure ratios, turnover rates and profitability ratios. Within the scope of the study, the weights of these financial ratios are found with SWARA method. Then, the companies in BIST manufacturing category are analysed with GRA method. Balance sheet and income statements data of the enterprises included in the BIST Industrial category, which are required for the analysis, are obtained with the help of the Finnet program. The purpose of the study is to evaluate the performances of enterprises in the BIST Industrial category from the viewpoint of the bank managers. The results provide useful information for the sector. Excel package program is used for analysing the data. [ABSTRACT FROM AUTHOR]