https://hdl.handle.net/20.500.12960/27 2026-04-21T10:56:45Z https://hdl.handle.net/20.500.12960/1730 Fermatean Fuzzy Analytic Hierarchy Process for Supplier Selection on LARG Supply Chain Paradigm Kabadayı, Nihan; Bakkal, Salih Multi-criteria decision-making (MCDM) methods have proven to be successful at solving complex decision problems. The fuzzy set theory, recognized for its ability to capture and represent uncertainty in real-world problems, has been extensively incorporated. Within the MCDM method literature, various fuzzy sets have been created to manage uncertain information inherent in real-world decision-making processes. Fermatean Fuzzy Sets (FFS), an extension of intuitionistic fuzzy sets (IFS), emerge as a robust framework for addressing uncertainty challenges in real-world problems. FFSs, demonstrating enhanced capabilities in mitigating limitations associated with membership functions and effectively representing hesitancy, contribute significantly to advancing MCDM methodologies. One of the most critical MCDM problems is supplier selection. Recently, supply chains have become vulnerable due to risks arising from various internal and external factors. Companies are striving to increase their supply chain performance in a competitive, risky, and ever-changing environment by adopting different paradigms. In this context, the integration of lean, agile, resilient, and green (LARG) paradigms into supply chains serves to elevate the operational performance and strategic competitiveness of these companies. Determining the most suitable supplier group is an important decision-making process crucial for the successful pursuit of integrated supply chain paradigms. This paper aims to provide a comparative examination for distinct types of fuzzy set definitions: Spherical fuzzy sets (SFS), IFSs, and FFSs for MCDM problems involving uncertainty. To test the performance of the FFSs in solving real-world problems, a comparative analysis is applied in a case study using the FF-AHP (Analytic Hierarchy Process) method. 2024-01-01T00:00:00Z https://hdl.handle.net/20.500.12960/1601 A proposed emergency response site selection for preventing pollution and collision effects using neutrosophic evaluation based on distance from average solution method and a numerical application in the Strait of Canakkale (Dardanelles) Usluer, H. Bora; Bora, Ali Gokhan; Cakmak, Emre; Arslan, Aykut The Turkish Straits Sea Area, encompassing the Sea of Marmara, the Strait of Canakkale, and the Strait of Istanbul, presents exceptional challenges due to its constricting and winding shape, making it one of the world's most difficult, busy, and hazardous waterways. The surge in marine traffic density in this vital waterway has raised concerns about collision risks. This study addresses two main problems: evaluating the adequacy of current Search and Rescue station locations for swift emergency response and identifying potential improved locations, if necessary. The research adopts a novel approach by utilizing neutrosophic data sets, a recently developed statistical method suitable for complex or indeterminate environments. This contributes to the advancement of alternative and contemporary techniques that enhance optimized decision-making. Notably, this study is the first to focus on the location and prioritization of emergency response points in the Çanakkale region, offering unique insights and original contributions to the field. 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12960/1582 Adaptive Governance in Integrating Sustainability and Resilience into the Arctic Shipping Routes: The Kara Sea Case Caymaz, Ebru; Büyüksağak, Barbaros; Özsoy, Burcu Due to nascent climate-driven challenges, maritime transportation and traffic density have initiated several debates concerning sustainable development within the Arctic. Responding to a situation in a safe and timely manner within a spatially extensive region entails a comprehensive governance framework, due to the considerable uncertainty and constraints. Therefore, building resilience in the Arctic shipping routes can be achieved by implementing an adaptive governance model in which sufficient national and international input can be provided by means of key actors. Accordingly, the aim of this study is to investigate how supply chain resilience is built within the temporal and spatial variations in shipping in the Russian Arctic. It is planned as a qualitative single-case study to reveal how institutions and the behaviors of related key actors evolve over time, based on the Kara Sea case. Founded on a relatively new term called adaptive governance, this study contributes to the extant literature by discussing the interrelation between the terms “sustainability” and “resilience” within the supply chain context and outlining the process of integrating sustainability and resilience into the Arctic shipping routes. 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12960/1577 Women entrepreneurs in Turkey: The empirical analysis of microcredit applications and economic growth relations Yener, Serdar; Arslan, Aykut; Kop, Ayşegül Eda Women entrepreneurship is explained by the women-owned business that create economic value. Since there are potential differences between men and women entrepreneurships, this study aims to provide a detailed analysis of how micro-credits help women entrepreneurship in development and economic growth. The data used for this research is obtained from Grameen Microfinance and Statistical Institute. The obtained data is analysed to examine the relationship between women entrepreneurships and economic development. Firstly, a model is developed to test the influence of unit of used microcredit in Turkey and unit change in the number of women who work in their own business. The impact of micro-credit in Turkey on women's employment is analysed with regression analysis. Secondly, the ARDL bounds testing approach model is employed to investigate the influence of number of women entrepreneurships and economic growth. This relation elicits the contribution of micro-credits to Turkey's economy. 2023-01-01T00:00:00Z