Classification Based on Fuzzy Inference Systems for Artificial Habitat Quality in Shrimp Farming

• Published in: 2008 Seventh Mexican International Conference on Artificial Intelligence pp. 388 - 392
• Main Authors: Carbajal, J.J., Sanchez, L.P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2008
• Subjects: Aquaculture; Artificial intelligence; Biological system modeling; Classification; Environmental factors; Fuzzy logic; Fuzzy systems; Organisms; Sea measurements; Testing; Water pollution
• ISBN: 0769534414; 9780769534411
• DOI: 10.1109/MICAI.2008.70

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.