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    The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection
    (2021) Tepe, Serap
    Imagining, thinking, producing, developing and changing what you produce are among the main traits that make human beings human. Human beings question their raison d’être, their life, the quality of their lives; in other words, they ask why and how. All these inquiries result in the production of information, a flow of the information produced, and sometimes a product. Today, in a world where production takes place at an unprecedented pace, one needs to possess the technology to keep up with developments. This is a dynamic capability and must be continuously developed to make it endure. Electric vehicles, a gift of technological developments of the world of today, are a combination of imagination, a needs assessment, and sustainable innovations. This study addressed the problem of electric car selection and included a case study involving six criteria and ten alternatives. The proposed decision model has integrated AHP and ELECTRE methods with interval-valued spherical fuzzy sets. The novelty of this study stems from evaluating the performance of electric cars using IVSF-AHP-ELECTRE and selecting accordingly for the first time. In this study, the level of importance of battery capacity, autonomous driving, charging network, price, efficiency and performance criteria were determined. A ranking was then made for the electric car alternatives based on these criteria.