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Toplam kayıt 16, listelenen: 11-16
Editorial: Fuzzy decisions and machine learning methods in climate change
(Frontiers Media SA, 2023)
Different factors can affect Fuzzy decisions and machine learning methods in climate change. Energy efficiency ensures that energy resources are used more effectively, which means energy savings. Less energy consumption ...
An interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem
(Springer Nature, 2023)
Companies must be able to identify their suppliers appropriately and effectively in order to survive in the competitive market conditions. In order to fulfill and surpass the expectations of the consumers and clients, ...
The effects of new urbanization pilot city policies on urban innovation: Evidence from China
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The new urbanization city pilot policy is China’s most recent policy on urban urbanization. This paper uses new urbanization pilot policies as a quasi-natural experiment to empirically test the impact of new urbanization ...
An evaluation of E7 countries' sustainable energy investments: A decision-making approach with spherical fuzzy sets
(Walter de Gruyter GmbH, 2023)
The purpose of this study is to identify important strategies to increase sustainable energy investments in emerging economies. For this situation, first, four different indicators are selected according to the dimensions ...
An assessment of alternative social banking systems using T-Spherical fuzzy TOP-DEMATEL approach
(Elsevier Inc., 2023)
Assessment of alternative banking systems is a difficult problem with multiple and conflicting criteria. This study proposes a multi-criteria decision-making (MCDM) model for evaluating alternative social banking systems ...
A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies
(Elsevier Inc., 2023)
This study aims to evaluate essential performance indicators of energy storage investments with a novel decision-making model. The first stage includes weighting the selected criteria with Spherical fuzzy TOPSIS-based ...