Water quality index based on fuzzy logic applied to the aburra river basin in the jurisdiction of the metropolitan area
The inherent uncertainties, subjectivity, and engineering challenges in environmental problems are increasingly being worked upon computing methods based on artifi cial intelligence (AI), including computerized tools that allow an analyst to use approximate reasoning with incomplete and inaccurate i...
- Autores:
-
González H., Juan D.
Carvajal Serna, Luis Fernando
Toro Botero, Francisco Mauricio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2012
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/40594
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/40594
http://bdigital.unal.edu.co/30691/
- Palabra clave:
- water quality indices (WQIs)
fuzzy-logic
fuzzy inference system
bioindicators
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional