Browsing by Author "Küçükönder, H."

Now showing 1 - 2 of 2

Citation - Scopus: 1
Healthcare 4.0 and Decision-Making Techniques in the Health Industry: a Systematic Literature Review
(Springer Nature, 2023) Küçükönder, H.; Görçün, Ö.F.
The current study examines the state-of-the-art literature on using MCDM frames to solve various evaluation problems faced in the health industry. As is known, the health industry has a highly complicated and dynamic structure. Moreover, the requirement to use advanced technology in almost all phases of the treatment process makes it challenging to handle these assessment problems faced in the healthcare industry. Also, these requirements make evaluation and selection processes more complicated for practitioners, as they produce many complicated uncertainties aside from existing ambiguities. Therefore, the health industry is one of the promising fields of application for scholars dealing with decision-making approaches and proposing a new methodology. The authors applied a systematic literature review approach to determine the gaps and key research themes and synthesize the findings. The study concludes with recommendations about the research framework to help the authors carry out future works on this issue. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Prioritizing Sustainable Energy Strategies Using Multi-Criteria Decision-Making Models in Type-2 Neutrosophic Environment
(WILEY, 2026) Görçün, Ö.F.; Küçükönder, H.; Çalık, A.
Emphasis on developing sustainable energy strategies is very important for the energy sector to meet its environmental, economic, and social goals. Energy policy mostly considers the need to improve energy efficiency, cut down on carbon emissions, as well as create a profitable market. One of the major problems faced by decision makers is the complication and multi dimensionality of the decision- making process with regard to assessments, which entails numerous decision criteria. Overlooking these complicating factors has the potential of creating huge bottlenecks such as prolonged energy transition timelines, cost overruns, and derailing of environmental targets. This research introduces an approach based on Type-2 Neutrosophic Fuzzy Sets to rank sustainable energy strategies, using Logarithmic Percentage Change based on Objective Weights (LOPCOW) and Ranking of Alternatives through Functional Mapping of Criterion Sub-Intervals into Single Intervals (RAFSI) methods. The proposed model seeks to improve the effectiveness and efficiency of multi-criteria decision-making model in the areas where decision making is characterized by uncertainty and incompleteness. Energy strategies are evaluated in a comprehensive manner along numerous dimensions, including ecological, economic, technological, as well as societal. This approach helps to identify strategies that effectively support the sustainable development objectives of the energy sector. The analysis indicates that prioritizing Research and Development (R&D) strategies is particularly beneficial in achieving these goals. © 2025 Scrivener Publishing LLC.