Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4809

Browse

Filters

2018 - 20202

Settings

Author: search.filters.author.Ic, Yusuf TanselSubject: search.filters.subject.AHP

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Development of a multi-criteria decision-making model for comparing the performance of Turkish commercial banks
    (2020) Ic, Yusuf Tansel; Celik, Beril; Kavak, Sevcan; Baki, Busra; 0000-0001-9274-7467
    Purpose In this study, financial performance evaluation model is developed for banks aims to measure and compare the performances of banks based on their financial ratios. Design/methodology/approach Regression-AHP (Analytic Hierarchy Process)-VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) integrated methodology is used. First, a literature review is done to find various bank performance measurement models with their financial metrics being compared. Then, pair-wise comparison matrices are used to find the relative weights of criteria (financial ratios) and finally VIKOR method is used to rank the banks. Findings It is believed that an AHP-based VIKOR framework helps to take up the explicit account of multi-criteria decision making (MCDM) methodologies in decision making and for selecting the best bank in the Turkish economy. Research limitations/implications In this paper, only selected financial ratios are used and analyzed for the multi-criteria decision-making (MCDM) method. Originality/value The systematic solution procedure of performance evaluating the banks helps the decision-makers to carry out performance evaluation studies for improving economic and managerial performance. This comparative study and analysis of bank performance using the regression-AHP-VIKOR combined model is presented for the first time. The authors have not become aware of any such studies in their literature review. This paper is an original framework of the application of the regression-AHP-VIKOR on the various financial performance metrics.
  • Thumbnail Image
    Item
    A COMPARATIVE STUDY OF THE CAPABILITY OF ALTERNATIVE MIXED INTEGER PROGRAMMING FORMULATIONS
    (2018) Keseci, Baris; Derya, Tusan; Dinler, Esra; Ic, Yusuf Tansel; AAC-4793-2019; F-1639-2011; AAI-1081-2020
    In selecting the best mixed integer linear programming (MILP) formulation the important issue is to figure out how to evaluate the performance of each candidate formulation in terms of selected criteria. The main objective of this study is to propose a systematic approach to guide the selection of the best MILP formulation among the alternatives according to the needs of the decision maker. For this reason we consider the problem of "selecting the most appropriate MILP formulation for a certain type of decision maker" as a multi-criteria decision making problem and present an integrated AHP-TOPSIS decision making methodology to select the most appropriate formulation. As an example the proposed decision making methodology is implemented on the selection of the MILP formulations of the Capacitated Vehicle Routing Problem (CVRP). A numerical example is provided for illustrative purposes. As a result, the proposed decision model can be a tool for the decision makers (here they are the scientists, engineers and practitioners) who intend to choose the appropriate mathematical model(s) among the alternatives according to their needs on their studies. The integrated AHP-TOPSIS approach can simply be incorporated into a computer-based decision support system since it has simplicity in both computation and application.