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Öğe A maturity model for digital transformation in the healthcare sector using integrated spherical fuzzy based MCDM approach(Springer Science and Business Media Deutschland GmbH, 2025) Tatar, Veysel; Ayvaz, BerkDigitalization has become increasingly important in recent years for the development and sustainability of organizations. Digital maturity models represent a critical component for assessing the capabilities of businesses in the context of digital transformation (DT), with a view to identifying strategies that will enable them to achieve a competitive advantage. The primary objective of this study is to devise a digital maturity assessment model for businesses in the healthcare sector. The model will facilitate the formulation of future-oriented policies by assessing their capabilities in the DT process. DT is becoming essential for healthcare systems. The digital maturity assessment model will reveal the technical and administrative requirements for digital transformation in the health sector. In this context, this study suggests a spherical fuzzy integrated multi-criteria decision making (MCDM) framework that combines spherical fuzzy FUCOM and spherical fuzzy ARTASI approaches in order to achieve this goal. A sensitivity analysis is performed to validate the robustness and stability of the proposed integrated method.Öğe A quantitative ergonomic risk assessment model of maritime port operations: An integrated spherical fuzzy-FUCOM-ARTASI approach(Elsevier Ltd, 2025) Tatar, Veysel; Ayvaz, Berk; Pamucar, DraganThe objective of this study is to enhance a novel ergonomics risk assessment tool for workers in maritime port operations by implementing and validating two innovative methodologies, namely, the FUCOM and ARTASI methods. The integration of the Fine-Kinney method and spherical fuzzy sets into these methods provides a detailed understanding of the risks of work-related musculoskeletal disorders (WMSDs) in various port operations. The primary findings demonstrate the efficacy of FUCOM and ARTASI in evaluating risk magnitudes for diverse health factors, offering valuable insights for risk classification and proposing effective control measures. The study's findings indicate that the top five most significant hazards are ERG6 (Heavy lifting, pulling, pushing, stacking), ERG2 (Lashing and unlashing operations), ERG12 (Working long hours or on shifts), ERG1 (Poor posture/awkward postures), and ERG10 (Work-related stress). The study underscores the necessity for future research to enhance knowledge in this domain, thereby facilitating a more profound comprehension of occupational risk areas and the strategies implemented by occupational health and safety (OHS) management systems in the port environment in an integrated manner.Öğe Analysis of renewable energy investments in China's BRI middle corridor using spherical fuzzy decision-making framework(Elsevier Ltd, 2025) Tatar, Veysel; Ayvaz, Berk; Pamucar, DraganThe importance of investment in, and access to, renewable energy is widely recognised as a key factor in achieving countries' sustainable development and economic growth goals. In order to advance sustainable development, the Belt and Road Initiative (BRI) project, proposed by China, represents a significant research area of investigation for countries aiming to attract investments in renewable energy sources (RES). The aim of this study is to provide an analytical evaluation methodology for investment risk factors for renewable energy (RE) in BRI middle corridor countries bordering the Black Sea. The methodology is based on multi-criteria decision-making (MCDM) approaches, including the spherical fuzzy analytical hierarchy process (SF-AHP) and the alternative ranking technique based on adaptive standardized intervals (ARTASI). While the SF-AHP is employed to prioritize main and sub-criteria in an environment of uncertainty, the ARTASI is utilized to rank the RE investment profiles of countries by integrating the calculated criteria. The results demonstrated that “Environmental” emerged as the most significant criterion, accounting for 21.61 % of the total importance, followed by “Economic” (21.26 %), “Political” (17.09 %), “Technical” (15.22 %), “Chinese factors” (14.63 %), and “Social” (10.19 %), respectively. The findings indicate that Türkiye and Romania, two of the BRI mid-corridor Black Sea coastal countries, are the most suitable options for Chinese enterprises investing overseas in terms of renewable energy investments. In light of these findings, it can be posited that Chinese enterprises will be better placed to manage and execute BRI renewable energy investment projects in a more effective manner, thereby reducing potential risks and enhancing the potential for investment benefits.Öğe Assessment of environmental performance of ports utilizing an integrated LBWA- MARCOS decision-making approach based on picture fuzzy sets(Springer Science and Business Media Deutschland GmbH, 2024) Tatar, Veysel; Ayvaz, BerkThe management of a port is of critical economic significance because of its part in global trade. However, the expansion of port operations and the continued use of antiquated methods of labor have resulted in detrimental effects on the environment, thereby posing challenges to sustainability of ports. In order for ports to compete in the global market and to ensure customer satisfaction, the importance that port managers attach to environmental indicators comes to the fore. In this context, this study suggests a fuzzy integrated MCDM strategy that combines the picture fuzzy LBWA (PF-LBWA) and picture fuzzy MARCOS (PF-MARCOS) approaches in order to achieve this goal. The proposed model is also demonstrated through environmental performance analysis of ten major ports in Türkiye.Öğe Assessment of ergonomic risk factors for sustainable agricultural practices based on picture fuzzy lodeci-artasi approach(Bitlis Eren Üniversitesi, 2025) Tatar, VeyselThe implementation of proactive risk management from an occupational health and safety (OHS) perspective is of paramount importance in ensuring sustainable production and enhancing work efficiency among employees. This paper aims to develop an innovative occupational health and safety risk assessment (OHSRA) model for workers exposed to ergonomic risks during agricultural harvesting operations. The approach to achieving this objective is through the implementation and validation of two innovative methodologies: the LOgarithmic DEcomposition Of Criteria Importance (LODECI) and Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI) methods. This study utilized an integrated approach, incorporating LODECI's weighting method and ARTASI's prioritization technique, based on picture fuzzy sets which employs Fine-Kinney risk parameters, to prioritize ergonomic risk factors affecting work-related musculoskeletal disorders (WMSDs). The validation of the proposed model is conducted through a sensitivity and comparative analysis. The research findings indicated that the five most significant hazards in harvesting operations are 〖ERH〗_11 (Land of harvesting area), 〖ERH〗_2 (Repetitive motion), 〖ERH〗_4 (Standing for a long time), 〖ERH〗_12 (Work stress) and 〖ERH〗_9 (Unsuitable climatic conditions), respectively. In finally concluding the paper, discussion is provided of potential future research directions.Öğe Evaluation of barriers to digital transformation in maritime logistics based on a spherical fuzzy multi-criteria decision-making framework(T.C. SANAYİ VE TEKNOLOJİ BAKANLIĞI STRATEJİK ARAŞTIRMALAR VE VERİMLİLİK GENEL MÜDÜRLÜĞÜ, 2025) Tatar, VeyselPurpose: The objective of this study is to identify and prioritize the barriers to the adoption of digital transformation in order to ensure more efficient and effective operation of the maritime logistics sector. Methodology: The Spherical Fuzzy Analytical Hierarchy Process (SF-AHP) method, which gives successful results in modelling uncertainty and uses Spherical fuzzy sets (SFSs), is used to rank the barriers affecting adoption of digital transformation according to their importance. Findings: In the application part of the study, firstly the barriers in the adoption of digital transformation were determined and as a result of expert evaluations, the barriers were ranked according to their importance by applying the steps of the method. When the results obtained from the study were examined, ‘Technology’ is the most important barrier category (B1) (0.341) for the adoption of digital transformation in maritime logistics, followed by the main barrier categories related to “Security” (B4) (0.266), “Environment” (B3) (0.223) and “Organisation” (B2) (0.171) respectively. Originality: This study represents a pioneering effort in the field of maritime logistics, as it is the first to identify and prioritize the barriers to digital transformation that impede operational efficiency.Öğe An integrated Fine-Kinney risk assessment model utilizing Fermatean fuzzy AHP-WASPAS for occupational hazards in the aquaculture sector(Institution of Chemical Engineers, 2024) Ayvaz, Berk; Tatar, Veysel; Sağır, Zeynep; Pamucar, DraganThe multidisciplinary field of occupational health and safety (OHS) aims to identify, assess, and mitigating hazards that arise in the workplace or due to the execution of the work. The Fine-Kinney method is a quantitative risk assessment widely applied in many industries to identify, evaluate and prevent potential hazards. Despite the widespread usage of the classic Fine-Kinney approach in several research, its effectiveness in addressing the issue of objective risk appraisal among decision-makers is limited. Therefore, this study proposes a comprehensive occupational risk assessment framework that integrates the Fine-Kinney method with the analytical hierarchy process (AHP) and weighted aggregated sum product assessment (WASPAS) under the Fermatean fuzzy environment. The Fermatean fuzzy set (FFS) offers a more flexible solution in determining the uncertainty and vagueness of information, as it covers membership and non-membership degrees in a wider area compared to intuitionistic and Pythagorean fuzzy sets. The AHP approach is used to calculate the weightage of each Fine-Kinney risk parameter (probability (P), exposure (E), and consequence (C)), and WASPAS method is used to find the ranking of the hazards. In the proposed model, Fermatean fuzzy weighted geometric (FFWG) operator is used for aggregation of expert opinions. Finally, sensitivity and comparative analyses are also performed to further highlight the adaptability and efficiency of the proposed occupational health and safety risk assessment (OHSRA) model, and a case study analyzing occupational hazards for aquaculture operations is presented to demonstrate the model's rationality and feasibility.Öğe Optimization-based decision support model for risk assessment of autonomous ships: Spherical fuzzy FUCOM-ARTASI approach(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Tatar, VeyselThe establishment of a safe maritime infrastructure is a prerequisite for the realization of sustainable autonomous maritime transportation. The goal of this research is to establish a methodological model to evaluate the level of risk that potential hazards related to this type of technology pose. Hence, this study provides a decision support tool incorporating Fine-Kinney based spherical fuzzy environment extended FUCOM and ARTASI techniques to address the occupational risk assessment problem with multiple parameters and uncertainties. The study focuses on autonomous ship systems for operationally potential hazard risks for illustration of the case. The findings indicate that ASH2: (Insufficient work experience and training, 98.599 Ultimate Utility Functions Value), ASH13: (Cyber attack on ship bridge systems, 97.802), ASH1: (Absence of situational awareness, 97.186), ASH16: (Collisions due to a lack of interaction with ships or other objects in a heavy traffic environment, 97.046), and ASH3: (Defects in hardware or software design, 96.986) have been identified as the most significant hazards to the system. This research aims to provide a comprehensive guide to the existing intellectual corpus on risk analysis and hazard identification related to autonomous ships, with a view to facilitating the eventual implementation of sustainable, safe and effective autonomous shipping operations.
