Artículo
Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes
Autor/es | Arroba, Javier
Grande Gil, Jose Antonio Andújar Márquez, José Torres Sánchez, María Luisa de la Riquelme Santos, José Cristóbal |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2007-01-24 |
Fecha de depósito | 2023-05-02 |
Publicado en |
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Resumen | In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data in the form of linguistic rules and charts about the behaviour of the Tinto and Odiel river estuary ... In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data in the form of linguistic rules and charts about the behaviour of the Tinto and Odiel river estuary (SW Spain) affected by Acid Mine Drainage (AMD). In order to provide researchers with no skills on data mining techniques an easy and intuitive interpretation, we have developed a computer tool based on fuzzy logic that allows immediate qualitative analysis of the data contained in a data from the estuary water chemical analyses, and serves as a contrast to functioning models previously proposed with classical statistics. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España |
Identificador del proyecto | CICYT-REN2002-01897/HID
CICYT-TIN2004-006689- C03-03 |
Cita | Arroba, J., Grande Gil, J.A., Andújar Márquez, J., Torres Sánchez, M.L.d.l. y Riquelme Santos, J.C. (2007). Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes. Environmental Geology, 53, 135-145. https://doi.org/10.1007/s00254-006-0627-0. |
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