| Título |
Classification based on fuzzy inference systems for artificial habitat quality in shrimp farming |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
IEEE Xplore; 7th Mexican International Conference on Artificial Intelligence, MICAI 2008 |
| Resumen |
Nowadays, the methods based on fuzzy inference systems (FIS) have demonstrated to be useful in the treatment of biological problems. An ecological abstract model for classifying artificial habitat quality in shrimp farming has been developed, based on a water quality index calculated with fuzzy reasoning. The potential application of the fuzzy index has been tested with a case of study proving the importance of the artificial intelligence in this area. The results show a good response obtaining four classifications of the status of the water quality; excellent, good, regular or poor. Therefore, this model emerges as a suitable and alternative tool to be used in the effective treatment of the water management in shrimp aquaculture. |
| Observaciones |
Proceedings of the Special Session, MICAI 2008; Category numberP3441; Code 74853; DOI: 10.1109/MICAI.2008.70 |
| Lugar |
Atizapan de Zaragoza |
| País |
Mexico |
| No. de páginas |
388-392 |
| Vol. / Cap. |
Article number 4682493 |
| Inicio |
2008-10-27 |
| Fin |
2008-10-31 |
| ISBN/ISSN |
978-076953441-1 |
