Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS

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Barriers to smart waste management for a circular economy in China (2019, methodology): “To capture the fuzziness in the judgments, triangular fuzzy numbers (TFNs) (Seçme et al., 2009) were used to represent linguistic variables.”
A Survey on Multi Criteria Decision Making Methods and Its Applications (2013, background): “…decision making is very much useful in banking application and the performance evaluation of banks has important results for creditors, investors and stakeholder’s since it determines banks’ capabilities to compete in the sector and has a critical importance for the development of the sector [19].”
A state-of the-art survey of TOPSIS applications (2012, methodology): “…systems for consumers DEMATEL and ANP Peng et al. (2011) Ranking selected classification algorithms for financial risk prediction PROMETHEE and VIKOR Secme et al. (2009) Evaluating five commercial banks using several financial and nonfinancial indicators Fuzzy AHP Shyur (2006) Ranking…”
Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods (2014, methodology): “The authors who have applied similar methods to analyze banks as explored in this paper are: Seçme et al. (2009) measured financial performance of banks operating in Turkey.”