Final Z-MABAC Scores and Student Ranking for a PBL Course

A dataset containing final Z-MABAC scores and rankings for 24 students evaluated in a Problem-Based Learning course. The data was generated by Limin Yu using a multi-criteria group decision-making framework that incorporates Z-number theory to handle uncertainty in expert evaluations. The dataset was last updated on May 18, 2026.

Use Cases

• Benchmarking student performance based on multi-stakeholder evaluations described in the study
• Testing alternative multi-criteria decision-making algorithms on real-world educational assessment data
• Analyzing the impact of reliability-aware weighting schemes on final student rankings

Strengths

• Dataset is based on a real-life case study involving 24 students, providing concrete scale.
• The assessment framework incorporates evaluations from multiple stakeholder groups, including peer teams, instructors, and industry experts.
• The methodology includes sensitivity and comparative analyses, suggesting internal validation.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and sample size.
• Column-level documentation is absent; field semantics must be inferred after download.
• Generalizability is limited to the studied course context, as noted by the author.

Provenance

Source

Limin Yu via figshare

Collection Method

Generated through a multi-stage assessment process applied to a real-life PBL course case study.

Freshness

Last updated 2026-05-18 17:41:04