Ranking of educational innovation of the State governments of Mexico: An analysis with the ordered weighted average operator

Abstract

This study aims to classify the educational innovation of Mexico’s state governments using the ordered weighted averaging (OWA) operator and its extensions. This method generates a ranking of the Mexican federal entities and constructs an educational innovation index. The results indicate that Mexico City has the highest evaluation levels, while Baja California Sur ranks lowest. Applying this technique not only enables these territories to be ranked according to the relative importance of each criterion, but also produces alternative scenarios that underscore the relevance of these elements. Therefore, the information is valuable for policymakers, as it supports the allocation of resources based on areas of opportunity. Finally, the document illustrates the application of the OWA operator and its extensions to classify the educational innovation of Mexico’s state governments.