A hybrid of ARAS and neutrosophic 2-tuple linguistic model to evaluate gender equitable policies from the perspective of Latin American professor’s

This paper aims to introduce a hybrid model between the Additive Ratio Assessment System (ARAS) method and the neutrosophic 2-tuples linguistic model. ARAS is used to make complex decisions by comparing the collected data with optimal values. The neutrosophic 2-tuple linguistic model allows the inclusion of indeterminacy in addition to uncertainty for computation with words. The hybridization of both models allows us to make decision with evaluations based on linguistic scales, which is a natural way of deciding by human beings. This new model is applied to measure the implementation of gender-equitable policies in Latin America. The results of the analysis of public gender equity policies are presented from the perception of university professors from Peru, Colombia, Costa Rica, Argentina, Chile, El Salvador, Mexico, and Ecuador. The discoveries reveal that in all age groups until adulthood, there has always been gender discrimination in various aspects such as health, education, work, family, and mainly socially. Latin American countries have sexist roots, however they also seek to guarantee the implementation of effective public policies for gender equality in all sectors of society.