Fuzzy OverProbability for Competitiveness Evaluation of the Power Electronics Technology Industry with Multi-Criteria Decision-Making Method

The power electronics technology sector is essential to the advancement of industrial modernization and sustainable development as the demand for electrification and energy efficiency rises globally. A thorough competitiveness assessment model for the power electronics technology sector is presented in this study. Ten crucial criteria are developed using a multicriteria decision-making (MCDM) framework, which considers the economic, technological, and innovation-based elements influencing industrial success. These criteria are used to evaluate ten major options that represent well-known businesses or areas. To improve industrial competitiveness in this high-impact industry, the study intends to assist academics, investors, and policymakers in identifying key strengths, weaknesses, and strategic orientations. We use the MULTIMOORA methodology to rank the alternatives. We use Fuzzy OverProbability to obtain the show the final probability between different interval values.q