A new health classification scheme based on fuzzy hesitant information

摘要

The evaluation of the health status of a population is a key question in Health Policy. The measurement of the health status is a relevant process to keep and improve the countries' level of economic development. In spite of this relevance, the current evaluation methodologies are not sufficiently well-defined either designed due to the fact that health is an inherently subjective notion. In order to overcome these drawbacks, first of all we propose a newer way to manage such uncertainty by means of the Fuzzy Logic Theory. Regarding the methodology, we develop a new approach to classify populations according to their health status based on hesitant fuzzy information. Additionally, we apply the proposed mechanism on real health data from 15 European countries.