Robust compromise multicriteria decision model to evaluate the level of achievement of graduation profile

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We propose an approach of a robust compromise multi-criteria decision-making model that evaluates the level of competency achievement in graduation profiles. Quantitative information on qualifications of specific and generic competencies of a graduation profile was collected from professors, graduates, employers, community partners, and students' self-perception of achievement. This information was categorized using ordinal Likert scales generated through Monte Carlo simulation methods and copula modeling. The proposed model is validated using optimization methods. It provides a single score for the level of competency achievement, and the analysis is conducted using descriptive statistics and multivariate analysis of clusters. Simulated scenarios revealed that higher weights given by stakeholders in the construction of the robust compromise score were associated with higher evaluation scores of competencies from the same stakeholders. Scenarios with negative correlations between stakeholder qualifications about level of achievement of graduation profile yielded lower scores in the robust compromise multi-criteria decision-making model. Our proposal for Robust Compromise Multi-Criteria Decision Making Model offers more precise single scores, reducing the epistemological uncertainty associated with the input information.