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Flight schools are institutions that carry out training activities in order to ensure quality and competition in the sector and to meet the pilot needs of the sector. Therefore, the aircraft to be used in the training must be chosen correctly. The aim of this study is to determine the aircraft selection criteria of the flight schools, to find the weights of these criteria and to choose the most suitable aircraft alternatives among the preferred flight schools. In the study, MEREC and CoCoSo methods, which are the current Multi-Criteria Decision Making methods, were preferred. The MEREC method was used to find the criterion weights, and the CoCoSo method was used to rank the aircraft. In the literature search, no study was found in which MEREC and CoCoSo methods were used in aircraft selection of flight schools. In the results of the analysis, it has been determined that the three most important evaluation criteria are "standard weight", "fuel tank capacity" and "maximum take-off weight", respectively. The criterion with the lowest degree of importance was the "aviation capability of the engine manufacturer" criterion. "Piper PA-44 Seminole" with alternative 3 codes took the first place among the aircraft alternatives. It is thought that the study will be beneficial to aviation industry and flight school managers. [ABSTRACT FROM AUTHOR]

In this study, the performance of four ground operations agents working in a ground handling company was evaluated using Grey Piprecia and Grey Marcos methods, which are multi criteria decision making methods. As a result of the evaluation of criteria, the criteria of "mastery of technical issues in the job description", "ability to take initiative in difficult situations", and "effective communication skill" ranked first, second and third, respectively. In the performance evaluation, ground operations agent A1 was the best performer. Very few studies using Grey PIPRECIA and Grey MARCOS methods are available in the literature. However, until now there has been no study regarding the performance evaluation of ground operations agents using mentioned methods. With these aspects, the study will fill an important gap in the literature. [ABSTRACT FROM AUTHOR]

Flight attendants working in airline companies are the airline personnel with whom the passengers are in contact from boarding the plane to the landing process. Therefore, it is important to choose a flight attendant for an airline company. The aim of this study is to determine the importance of the criteria that airline companies should take into consideration when recruiting cabin crew and to choose the most suitable one among cabin crew alternatives. Fuzzy SWARA was used to find the criterion weights, and the Fuzzy MARCOS method was used to rank the candidates. In the literature research, it has not been found a study that Fuzzy SWARA and Fuzzy MARCOS methods are used in evaluating the alternatives and the criteria that play a role in the selection of cabin crew and. In the analysis results, it was determined that the three most important evaluation criteria are "education and success status", "foreign language knowledge" and "physical characteristics", respectively. Candidate number 3 was also ranked first as the most suitable flight attendant. [ABSTRACT FROM AUTHOR]

The knowledge and competencies of the academic staff working in universities, researches, technical infrastructure of the university, social and cultural activities organized at the university affect the education and training, and play an important role in the productivity and success of the university. Different dimensions of these criteria constitute input for university ranking systems published internationally and nationally. Thus, each institution evaluates its position and defines the necessary strategies and targets to be better. Within the national scope, reporting is also made to the upper institutions that they are affiliated with the determined performance indicators. In this context, the aim of the study is to evaluate and rank the 172 public and foundation universities whose 2018 reports have been published according to the related criteria determined by YÖK and to reveal how these rankings are affected by the selected ranking methods. More than fifty criteria are evaluated by six different multi-criteria decision making methods. The relationships between the rankings obtained by the application of each method are also presented with the relevant statistics. [ABSTRACT FROM AUTHOR]