Browsing by Author "Büyükselçuk, E.C."

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Hybrid Swara-Vikor Based on Neutrosophic Fuzzy Numbers: an Application
(IGI Global, 2024) Büyükselçuk, E.C.; Endüstri Mühendisliği Bölümü
In recent years, the burgeoning activity in medical tourism has prompted countries to allocate investments to the healthcare sector, signalling a significant resurgence in national economies. Turkey, like many other nations, has witnessed favourable advancements in this domain. Buoyed by these positive trends and government support, Turkey has expanded its market presence in medical tourism. Concurrently, both public and private hospitals and clinics are endeavouring to capitalize on this growing market share by initiating fresh investments in the sector. This study focuses on assessing the performance of a private healthcare institution operating within Turkey. Leveraging performance criteria established through expert opinions and a thorough literature review, the evaluation of various hospital branches within the healthcare sector was conducted utilizing integrated SWARA-VIKOR methods, employing neutrosophic fuzzy numbers. © 2025 by IGI Global Scientific Publishing. All rights reserved.
VR Headset Selection Via Codas Based on Pythagorean Fuzzy Set
(IGI Global, 2024) Büyükselçuk, E.C.; Endüstri Mühendisliği Bölümü
Thanks to the developing technology, innovative activities emerge in the education sector, as in every sector. Contrary to traditional teaching and learning methods, novel models have started to be used in the education sector with the opportunities offered by virtual reality (VR), augmented reality (AR) or mixed reality (MR) technologies used in many different sectors. In this study, a model developed for use in the education sector in Turkey, which is named MEB-VR, has been introduced and the solution of a problem encountered in this model has been discussed. MEB-VR has been developed especially for applied and laboratory courses. The problem of determining the best headsets to be used in the model, in which the VR-based education approach is adopted, has been tried to be solved in this study. For this purpose, the most suitable VR headset was determined using the combinative distance based assessment (CODAS) method based on circular pythagorean fuzzy sets (C-PFS). © 2025, IGI Global. All rights reserved.