An integrated multi-criteria decision making model with Self-Organizing Maps for the assessment of the performance of publicly traded banks in Borsa Istanbul

Özçalıcı, Mehmet; Bumin, Mete

doi:10.1016/j.asoc.2020.106166

Cited by 24 publications

(7 citation statements)

References 23 publications

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“…Ozcalici and Bumin [ 159 ] performed a performance analysis of publicly traded banks in Turkey for 2018 considering the integration of MCDM methods, i.e., MOORA, OCRA, EDAS, and TOPSIS, with a million-weight combination set. Sama et al [ 160 ] applied ARAS and MOORA methods to evaluate India's private banking sector's performance.…”

Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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“…In the studies of Ozcalici and Bumin [55], a 2018 performance evaluation of publicly traded Turkish banks traded in Borsa Istanbul was performed. Using quarterly financial statements, a multidimensional data set was obtained by using various financial ratios, personnel and branch network, daily stock market returns, and standard deviations of said daily returns.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach

2022

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Above all, this study is original in that it reveals the efficiency and productivity of banks exposed to the current pandemic situation. The aim of this study is to evaluate bank efficiency and productivity of commercial banks operating in Turkey pre- and during COVID-19 by using a novel integrated multi-criteria decision-making (MCDM) approach. We divided the banks into three groups in order to evaluate the differences in terms of their efficiency and productivity: state banks, foreign banks and private domestic banks. This paper fills a gap in the literature by using a novel integrated MCDM approach including SWARA II as a subjective weighting method, MEREC as an objective weighting method, and MARCOS as a ranking method to evaluate bank efficiency and productivity. The results reveal that banks with foreign investors achieved higher productivity than other bank groups and the productivity of state banks decreased especially during the COVID-19 period. It should also be noted that state banks are restricted to certain political objectives.

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“…The Multi-Criteria Decision Making (MCDM), introduced by B.Roy [5,6], is a set of methods that help the Decision-Maker (DM) to make decisions using their preferences with multiple and conflictual criteria. Thus, it has been widely applied to various scientific problems, such as the environment [7,8], industrial [9], land use and management of natural resources [10], mine planning [11], energy management [12], waste management [13,14], financial and bank management [15], evaluation and selection of projects [16] and transport [17] and many other problems. All the multi-criteria problems require the establishment of a coherent family F of m (m ≥ 2) criteria and also require a set A of n (n ≥ 1) actions or alternatives.…”

Section: Position Of the Problem And Related Workmentioning

confidence: 99%

Extension of the ELECTRE III Method to the Case of Uncertain Preferences: Application to an Example of the Environmental Management Problem

Abounaima

Mazouri

Lamrini

et al. 2022

Stat., optim. inf. comput.

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Almost all the decision problems are by nature multi-criteria, where multiple and conflflicting criteria must be considered in the decision-making process. For some cases of these decision problems, they are further marked by a lack of certainty and precision in the decision-maker’s judgments and preferences. This study aims to propose an extension of the ELECTRE III method, widely used in the multi-criteria decision aid fifield, to the case of a decision problem where the decision-maker preferences are imprecise and uncertain. In this proposed adaptation, the inaccuracies and uncertainties will be expressed by an uncertainty interval. The proposed extension will be tested with an example problem to demonstrate its feasibility and relevance. In this example of environmental management, we propose to rank three oil refifinery installation projects from the best project to the worst project. The experiment results show that the ELECTRE III method extension can be used easily and rigorously when the uncertainty intervals express the decision-maker’s preferences. Finally, the results obtained in this work can be extended to other multi-criteria analysis methods.

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An integrated multi-criteria decision making model with Self-Organizing Maps for the assessment of the performance of publicly traded banks in Borsa Istanbul

Cited by 24 publications

References 23 publications

A historical review and analysis on MOORA and its fuzzy extensions for different applications

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach

Extension of the ELECTRE III Method to the Case of Uncertain Preferences: Application to an Example of the Environmental Management Problem

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