https://hdl.handle.net/20.500.12809/47 Sun, 05 Apr 2026 22:17:15 GMT 2026-04-05T22:17:15Z https://hdl.handle.net/20.500.12809/11022 Analysis of Burnout, Job Satisfaction, and Fatigue Among Yacht Crew: A Case Study of Turkish Yacht Crew Operating in the Southern Aegean Sea Şendilmen Danacı, Canan; Keçeci, Tuba An examination was conducted on the correlation between burnout, job satisfaction, fatigue levels, and the demographic characteristics of yacht crew. In March 2023, a survey was administered to 81 yacht crew of various ratings operating in the South Aegean. The Maslach Burnout Inventory, Minnesota Satisfaction Questionnaire, and Piper Fatigue Scale were used in the study, and the subdimensions of these scales analyzed in detail in relation to the yacht crew. Low burnout levels, moderate emotional exhaustion, low depersonalization and a lack of personal accomplishment was found among participants. Job satisfaction was moderate, primarily influenced by internal factors. Overall fatigue levels were moderate, with varying subscale levels. Deckhands had higher burnout and fatigue levels, whereas able seamen had the highest job satisfaction. Statistically significant relationships were found between participant age and years of service and burnout; between job satisfaction, competence, and years of service; and between fatigue and marital status. A statistically significant relationship was found between crew burnout and their levels of job satisfaction and fatigue. Another finding of the research was that males had higher job satisfaction than females, however, male crew members reported higher levels of burnout and fatigue. Furthermore, since there is dense yacht traffic in the Aegean Sea, the high levels of fatigue among yacht crew in the region could be affecting the safety of commercial vessel navigation. Excluding captains, this study is the first to research job satisfaction, burnout, and fatigue levels among yacht crew. Sun, 01 Jan 2023 00:00:00 GMT https://hdl.handle.net/20.500.12809/11022 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12809/10962 A Novel Membership Function Definition for Fuzzy Classification Uylaş Satı, Nur In this paper, a novel membership function is defined for fuzzy sets using a supervised learning approach. Firstly, the training dataset is separated using the previously defined polyhedral conic functions in a supervised learning approach. Then obtained polyhedral conic functions are used for defining a new membership function. After that, a new fuzzy classification algorithm is formed to classify fuzzy sets with a similar structure. The algorithm with all suggested methods is implemented on real-world datasets, and the performance values are compared with the state of art classification algorithms.; Bu çalışmada gözetimli öğrenme yaklaşımı kullanılarak bulanık kümeler için yeni bir üyelik fonksiyonu tanımlanmıştır. İlk olarak, gözetimli öğrenme yaklaşımında, eğitim veri kümesi, önceden tanımlanmış çokyüzlü konik fonksiyonlarla ayrılmış ve daha sonra elde edilen bu çokyüzlü konik fonksiyonlar yeni bir üyelik fonksiyonu tanımlamak için kullanılmıştır. Sonrasında ise bu fonksiyon kullanılarak benzer yapıda bulanık kümeleri sınıflandırmak için yeni bir bulanık sınıflandırma algoritması tanımlanmıştır. Önerilen tüm yöntemler bir algoritmada birleştirilerek, veri kümeleri üzerinde denenmiş ve performans değerleri, literatürde yer alan sınıflandırma algoritmalarıyla karşılaştırılmıştır. Sun, 01 Jan 2023 00:00:00 GMT https://hdl.handle.net/20.500.12809/10962 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12809/10766 Investigating exhaust gas emissions of yachts: Example of Turgutreis D-Marin Yıldırım, Umut; Danacı, Mehmet Yachts emit harmful gases to human health and the environment into the atmosphere and marinas and surrounding vicinity are the most affected regions by these pollutants. This study applied a bottom-up approach involving emission factors to make an anthropogenic emissions inventory of yachts and to offer solutions for reducing emissions by investigating the NMVOC, NOx, NH3, CO, and PM emissions from 2002 yacht movements between June 1 and August 31, 2019 at Turgutreis D-Marin in Bodrum Turkey. These emissions are categorized based on yacht operation modes and types. Quarterly yachting emissions are estimated as 3099 tons for NMVOC, 0.003 tons for NH3, 14,526 tons for NOx, 1896 tons for PM, and 15,576 tons for CO. Sun, 01 Jan 2023 00:00:00 GMT https://hdl.handle.net/20.500.12809/10766 2023-01-01T00:00:00Z https://hdl.handle.net/20.500.12809/10657 Comprehensive analysis of lifeboat accidents using the Fuzzy Delphi method a; b Danacı, Mehmet; Yıldırım, Umut Accidents that result in personnel injury or death occur in lifeboats, which are some of the most reliable means of abandoning a ship during drills, routine maintenance, and tests. Comprehensive research on lifeboat accidents is non-existent in literature. This article aims to prioritize the factors responsible for lifeboat accidents and to provide comprehensive recommendations for managers, policymakers, and seafarers. For this purpose, the Fuzzy Delphi method was used in the study. Twelve lifeboat accidents reported by flag states were examined, and detailed accident analyses were made by 12 field experts. As a result of the study, human errors, equipment unsuitability, lack of knowledge, and language problems of the personnel were determined as the most important factors in the causes of lifeboat accidents. Wed, 01 Jan 0223 00:00:00 GMT https://hdl.handle.net/20.500.12809/10657 0223-01-01T00:00:00Z