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

Abstract

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 multi
criteria 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.  

DOI: 10.5281/zenodo.15265714