Modelo de recomendacion para la orientacion vocacional basado en la computacion con palabras [ Recommendation models for vocational orientation based on computing with words ]

The selection of a profession suitable to expectations implies taking into account multiples factors. Despite its usefulness and high impact there are limitations in the support to vocational orientation and specifically to university major recommendation models. Among these limitations are the lack of flexible models and the dependence on historical information. In this paper a new college degree recommendation model based on the 2-tuples linguistic model and the OWA operators is presented. It includes database construction, student profiling, university degree information filtering and recommendation generation. Its implementation make possible to improve reliability. An Illustrative example is shown to demonstrate the model applicability especially to information and health sciences.