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    APPLICATION OF INTERVAL TYPE 2 FUZZY AHP METHOD IN BANK SELECTION PROCESS OF AN SME
    (Mehmet Akif Ersoy Univ, 2023) Aydogmus, Ufuk; Aydogmus, Hacer Y. U. M. U. R. T. A. C., I; Karaman, Davut; Yildiz, Ali; Can, Melih
    The banking sector is vital for world economies. Although there are broader definitions, the banking sector can be expressed as a sub-sector of the larger financial services industry, which also includes sub-sectors focusing on insurance, venture capital and private equity. One of the most important functions of the said sector is to protect the assets of depositors and to provide loans to individuals and businesses. Individuals consider many criteria in order to receive this service and choose the most suitable bank for them and work with that bank. It is known that the biggest challenge in front of the growth of small and medium-sized enterprises (SMEs) is the lack of access to finance. It is important that bank financings can be the main potential source of external financing for the growth of SMEs and on which criteria the bank should be selected based on which this financing can be provided. In this direction, the criteria and sub-criteria that SMEs consider during the bank selection stage were determined in the study and the most suitable alternative bank was selected by using the Interval Type 2 Fuzzy AHP method.
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    Öğe
    Prioritization of drip-irrigation pump alternatives in agricultural applications: An integrated picture fuzzy BWM&CODAS methodology
    (Elsevier, 2024) Kamber, Eren; Aydogmus, Ufuk; Aydogmus, Hacer Yumurtaci; Guemues, Mehmet; Kahraman, Cengiz
    One of the irrigation methods is drip irrigation, for which selecting the right pump has a significant impact. In this study, the process of choosing the appropriate pump for drip irrigation is regarded as a multi-criteria decision-making (MCDM) problem. The objective is to enhance productivity and minimize water consumption in agricultural areas by addressing the drip-irrigation pump-selection problem. Making decisions under uncertainty is a complex task, especially when dealing with intricate problems where complexity raises concerns about finding more dependable solutions. Fuzzy extensions of MCDM methods are designed to tackle such intricate and detailed problems compared to traditional MCDM methods. Therefore, we propose and implement a Picture Fuzzy CODAS (PF-CODAS) method to address the issue of drip-irrigation pump selection under vagueness, utilizing expert opinions. In comparison to other MCDM methods, our suggested approach combines multi-criteria decision analysis with picture fuzzy hesitancy and a negative ideal solution, supported by Euclidean and Taxicab distances. Furthermore, we present an integrated approach that uses the Best Worst Method (BWM) to determine criterion weights and the PF-CODAS method for ranking alternatives. Overall, this study offers valuable support for advancing sustainable agriculture through our proposed MCDM approach.