COMPARATIVE ANALYSIS OF FINANCIAL EFFICIENCIES WITH DATA ENVELOPMENT ANALYSIS (DEA) AND MULTI-ATTRIBUTE UTULITY THEORY (MAUT) METHODS

The main purpose of this study is to perform financial analysis of textile companies with Multi Criteria Decision Making (MCDM) methods. "Which MCDM method is most suitable for a given problem?" is an important question in the literature. The study was carried out with different MCDM methods and the results were compared and it was aimed to make a small contribution to the question in the literature. In addition, providing a perspective to the stakeholders and investors of textile sector is another aim of the study. In this study, were attempt to determine the financial activities and performances of 22 firms in the textile sector, which were traded in BIST (Borsa Istanbul) during 2008–2015. The efficiency analysis was done by DEA method using the financial indicators of the firms. Furthermore, the MAUT method was applied to determine financial performance. In this study, the efficiency and performance orders obtained with the DEA (BCC), DEA (CCR), and MAUT methods were examined together and then compared. Accordingly, it was seen that BISAS was the most successful company during the whole period for the three methods. The following companies were found to be ESEMS, SNPAM, ATEKS, and KORDS