Classification based on fuzzy inference systems for artificial habitat quality in shrimp farming

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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.

Idioma originalInglés
Título de la publicación alojada7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008
Páginas388-392
Número de páginas5
DOI
EstadoPublicada - 2008
Publicado de forma externa
Evento7th Mexican International Conference on Artificial Intelligence, MICAI 2008 - Atizapan de Zaragoza, México
Duración: 27 oct. 200831 oct. 2008

Serie de la publicación

Nombre7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008

Conferencia

Conferencia7th Mexican International Conference on Artificial Intelligence, MICAI 2008
País/TerritorioMéxico
CiudadAtizapan de Zaragoza
Período27/10/0831/10/08

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