Application of fuzzy clustering model in groundwater runoff zones classification and indicator correlation analysis

Author

Doan, Thanhnghi ; Yu, Xuefeng ; Zhang, Zhongyuan

Author_Institution

Hydraulic & hydropower Eng., Univ. of Heilongjiang, Harbin, China

fYear

2012

fDate

6-8 July 2012

Firstpage

528

Lastpage

531

Abstract

There are many factors influencing the groundwater runoff strength. The indicator size has different influence on the strength of groundwater runoff. The relation between some indicators and the strength of groundwater runoff are positive correlation, the relation between other indicators and the strength of groundwater runoff are negative correlation. The fuzzy clustering model in the theory of engineering fuzzy sets is applied to analysis the correlation between the strength of groundwater runoff and indicators in the paper. With real cases, we can discuss the application of fuzzy clustering model and test the practicability and validity of this method.

Keywords

fuzzy set theory; groundwater; pattern clustering; engineering fuzzy sets; fuzzy clustering model; groundwater runoff strength; groundwater runoff zones classification; indicator correlation analysis; Analytical models; Correlation; Educational institutions; Eigenvalues and eigenfunctions; Geology; Indexes; Mathematical model; Fuzzy Clustering; Goal Weight; Relative Membership Degree; Relevance;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6357936

Filename

6357936