Assessment of Knowledge-Based Innovative Business Investments in Electric Vehicle Industry Through Artificial Intelligence and Integrated Quantum Fuzzy Model
DOI:
https://doi.org/10.66972/iscis2120269Keywords:
Knowledge management, Knowledge-based investments, Innovative business projects, Electric vehicleAbstract
Appropriate policies should be implemented to increase the performance of knowledge-based innovative business investments in electric vehicle projects. However, these practices also lead to an increase in the operational costs of companies. Therefore, businesses should determine priority areas for performance improvement. This situation increases the need for priority analysis in this area. Accordingly, the purpose of this study is to evaluate knowledge-based innovative business investments in the electric vehicle industry. Within this context, a new fuzzy decision-making model is proposed. The first stage includes prioritization of the decision-makers with the help of an artificial intelligence (AI) methodology. Next, the missing evaluations of knowledge-based innovative business investments in the electric vehicle industry are estimated using an expert recommender system. In the following stage, the criteria for innovative solutions in electric vehicles are weighted via a quantum picture fuzzy rough set-based (QPFR) M-SWARA method. In the final stage, the business alternatives for the electric vehicle industry are ranked with the help of QPFR VIKOR. The main contribution of this study to the literature is the integration of AI techniques into the fuzzy decision-making methodology. This approach creates an opportunity to compute the weights of the decision-makers. With the help of this issue, it is possible to obtain more effective findings. It is concluded that the most important criteria for innovative solutions in electric vehicles are technology transfer among industries and incentives for research and development. On the other hand, the ranking results demonstrate that efficient material selection with recycling processes and flexible transportation using data-driven services are the most significant business alternatives for the electric vehicle industry.
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Copyright (c) 2026 Serhat Yüksel, Hasan Dinçer, Edanur Ergün, Serkan Eti (Author)

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