Einstein Aggregators on Picture Fuzzy Sets for Evaluating Competencies in Blueprint Reading

Abstract

This work highlights an evaluation of blueprint reading competencies among university students, with particular attention to common and core competencies. Recognizing the ambiguity and imprecision arising from such an evaluation, Einstein aggregation operators on picture fuzzy sets were adopted to model the judgments of participants derived from a pool of mechanical technology students. Results reveal the students’ competency level for each pre-identified task in blueprint reading. Although they display above-average performances, areas requiring enhancement in both competency types are identified. Pathways from these findings involve various strategies: conducting a separate in-depth study for a deeper understanding of the subject matter, incorporating particular emphasis on blueprint reading tasks, introducing competency-based exercises within relevant courses, and facilitating industry experts’ collaboration. Comparative analysis with those of intuitionistic fuzzy sets and Dombi aggregation operators yields similar results.