A new health classification scheme based on fuzzy hesitant information
- https://doi.org/10.2991/ifsa-eusflat-15.2015.176How to use a DOI?
- Health measurement, Hesitant information, Geometric score, Geometric variance.
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.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - José Carlos Rodríguez-Alcantud AU - Rocío De Andrés Calle AU - Teresa González-Arteaga PY - 2015/06 DA - 2015/06 TI - A new health classification scheme based on fuzzy hesitant information BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 1245 EP - 1252 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.176 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.176 ID - Rodríguez-Alcantud2015/06 ER -