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    Evaluating blockchain risks by using a MCDM methodology based on pythagorean fuzzy sets
    (Springer Verlag, 2020) Özkan, Betül; Kaya, İhsan; Erdoğan, Melike; Karaşan, Ali
    Using blockchain technology (BT) in companies has become more common nowadays. But implementing a new BT contains many risk factors from different perspectives. Some of these risks can be critical for companies’ processes. These risks should be carefully identified and analyzed to minimize the negative effects of them. Evaluation of the risks can be considered as a multi criteria decision making (MCDM) problem. In this study, the risks that can occur when implementing BT are evaluated by using a MCDM methodology based on Pythagorean fuzzy analytic hierarchy process (PF-AHP). By using Delphi method, the risks are determined and the problem is constructed as a hierarchical form. After that, the risks are prioritized by using PF-AHP and the most important risks are obtained. The main aim of this paper is to help companies to determine which risks are more critical and to which of them should be given more priority during BT implementation. © 2020, Springer Nature Switzerland AG.
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    Evaluation of defense strategies by using a MCDM methodology based on neutrosophic sets: A case study for Turkey
    (Springer Verlag, 2020) Karaşan, Ali; Kaya, İhsan; Erdoğan, Melike; Özkan, Betül; Çolak, Murat
    Military operations are vital activities that are involving many risks from different perspectives. Although these operations are carried out for multiple purposes which can be classified as the minimum damage that is taken and the maximum damage that is given. The officers who are responsible for the strategy determination for the operations are one of the most effective factors of the results. Since the system has multi experts, multi criteria and many alternatives, it is suitable to apply a multi criteria decision making (MCDM) methodology for the decision-making process. In this study, defence strategies are evaluated with respect to the determined criteria based on the decision makers’ judgements by using CODAS method based on Neutrosophic Sets that can be able to manage both qualitative and quantitative data. © 2020, Springer Nature Switzerland AG.