Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes

被引：36

作者：

Aroba, J.

Grande, J. A.

Andujar, J. M.

de la Torre, M. L. ^{[1
]}

Riquelme, J. C.

机构：

[1] Univ Huelva, Escuela Politecn Super, Grp Recursos & Calidad Agua, La Rabida Huelva 21819, Spain

[2] Univ Huelva, Escuela Politecn Super, Grp Control & Robot, La Rabida Huelva 21819, Spain

[3] Univ Seville, Escuela Tecn Super Ingn Informat, Dept Lenguajes & Sistemas Informat, E-41012 Seville, Spain

来源：

ENVIRONMENTAL GEOLOGY | 2007年 / 53卷 / 01期

关键词：

AMD; fuzzy logic; data mining; Tinto and Odiel rivers; heavy metals; Spain;

D O I：

10.1007/s00254-006-0627-0

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：135 / 145

页数：11

共 48 条

[1] Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic [J].