Introduction:

The admission process of students to a postgraduate program is very important for the improvement of indicators of greater importance in the quality of the program. The problem is the large amount of information requested that is not always considered objectively for the selection of applicants with the desired profile.

Objective:

Analyze evaluation models to select postgraduate applicants and, with a metric, choose the most compatible model.

Materials and methods:

We used information from 19 applicants for the Master’s program in Forest Sciences of the Universidad Autónoma Chapingo. We applied subjective methods of multi-criteria analysis in the phase of consideration of the criteria (3) and sub-criteria (8): point allocation method and analytical hierarchical process. Values ​​were aggregated using the TOPSIS method and the weighted sum method. The most compatible weighting-aggregation combination was determined with Pareto order.

Results and discussion:

The combination of the weighted sum method and analytical hierarchical process showed a lower average distance to the order of the rest of the combinations and, consequently, generated a selection of applicants more compatible with the selection criteria.

Conclusion:

Multi-criteria methods represent a good option to properly consider the amount of information generated in a selection process.

        · abstract in Spanish     · text in English | Spanish     · English ( pdf ) | Spanish ( pdf )