<p>This paper investigates the decision process relating to job change which mostly depends on individual’s expectations about a job. Failing to fully understand the factors shaping these expectations leads to dissatisfaction and poor work performance; which produces unwanted consequences for both individuals and businesses. Since job change decision is defined as a multiple criteria decision making (MCDM) problem. This study uses a hybrid approach as a methodology combining fuzzy Analytic Hierarchy Analysis (AHP) and fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) for the job change decision of a faculty working in a university. In this approach, while the use of fuzzy AHP method helps determine the weight of the decision criteria; fuzzy TOPSIS enables the evaluation of the alternatives. In order to investigate the methods’ applicability in multiple dimensions of decision problem space, a comparison analysis is conducted with the three methodologies; fuzzy AHP, fuzzy TOPSIS and the proposed hybrid approach (named fuzzy AHP-TOPSIS) in the same decision making context. Four factors are considered for the comparison: adequacy to changes of criteria or alternatives; agility in the decision process; computational complexity; and the number of criteria and alternatives. Analysis shows that three methods achieve the same results. This verifies their robustness and indicates that MCDM methods are viable in job change decisions. However; comparison analysis shows that based on the four factors; the proposed hybrid fuzzy AHP-TOPSIS method provide more consistent results than fuzzy AHP and fuzzy TOPSIS methods. Thus the proposed hybrid fuzzy AHP-TOPSIS method is more appropriate to use on a wide range of job change decision problems.</p>

Air cargo transportation attracts increasing attention among other alternative transportation models in developing countries due to its ability to provide the fastest transportation service to distant locations. A cargo hub, where air cargo companies perform their cargo operations, plays a critical role, especially in service time and cost. In choosing a site for their operations, understanding the importance of many seemingly independent factors/criteria such as airport system and infrastructure, proximity to production and consumption sources, and transportation connections play a critical role in balancing time and cost. Hence, the study aims to determine the location selection criteria of the cargo hub as the operation site of air cargo companies and to rank their importance. For this purpose, the opinions of experts in university and managers of big air cargo companies in Turkiye were collected. In the first stage of the study, the criteria were determined and categorized into four categories by using the Delphi method. In the second stage, the importance levels of the criteria were determined using the G-AHP method. The research findings highlighted “transportation diversity of the region”, “proximity to important production resources”, and “the structure of existing warehouses” as the most important criteria among others. The importance levels of location selection criteria categories ranked as “Supply, Equipment and Costs”, “Transportation Connections”, “Consumer” and “External Factors”. In summary, findings show that the most important factor affecting the location selection decision is related to the suitability of the airport's infrastructure for cargo operations.

ÖZ Determination of the Importance of Criteria Effecting Voting Decision in Management Election in Higher Education Institutions Using Fuzzy AHP ABSTRACT Rectors and the management teams have the most important role with their authority and responsibilities in the development of public universities which have an important mission in the economic and social development of our country. The process of rector elections once in every four year became an important topic on universities' agenda that caused various discussions. As a result of these discussions rector elections are no longer to be held due to the law that has been changed on October 2016. This process has not been studied empirically in terms of the kind of decision mechanisms involved in the voters

Evaluation of artistry mostly depends on subjective perceptions of experts. As a decision-making process, it involves imprecision and fuzziness, and it is difficult to justify the process. Most art programs’ admission process involves evaluation of the candidates’ pencil drawings and selecting students among competing candidates. Using a justifiable process is essential for the administrators of art programs. Fuzzy Multi-Criteria Decision Making methods provide convincing results for real-world problems involving imprecise and fuzzy data. In this study, a modified version of the Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS methods are proposed for the art student placement process. Delphi technique is used for identifying the evaluation criteria and the FAHP method is used in obtaining the importance of criteria. Rankings of the candidate students are determined using the TOPSIS method. The resulting rank order of drawings is evaluated by the committee members for validating the performance of the proposed method.