<p>This study presents a novel approach to analyzing trade competitiveness within the global semiconductor market by applying the Choquet Expected Utility (CEU) framework. Focusing on the import and export activities of key nations, this research introduces an evaluation criterion grounded in a similarity measure for triangular fuzzy numbers, generated through the discrete-generalized Choquet expected utility (DG-CEU). This methodological framework facilitates a nuanced comparative analysis of national competitiveness, offering five-level evaluation criteria across various trade categories for a comprehensive trade assessment. Using the five-level evaluation criteria expressed in triangular fuzzy numbers, we offer strategic predictions and practical recommendations using the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\alpha \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>α</mi> </math></EquationSource> </InlineEquation>-level set of triangular fuzzy numbers, outlining specific pathways for countries to surpass their competitors in various trade categories. Furthermore, by examining the trade patterns of ten selected countries, the study provides valuable insights into the competitive dynamics of the semiconductor sector. The study not only contributes to the academic discourse but also offers practical applications that can inform future trade policies and market strategies, ensuring a more competitive and resilient global semiconductor industry.</p>