Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11629
Title: Application of interval clustering approach to water quality evaluation
Authors: Wong, H 
Hu, BQ
Keywords: Grey clustering approach (GCA)
Interval-valued fuzzy set
Water quality criteria
Water quality evaluation (WQE)
Water quality index (WQI)
Issue Date: 2013
Publisher: Elsevier Science Bv
Source: Journal of hydrology, 2013, v. 491, no. 1, p. 1-12 How to cite?
Journal: Journal of Hydrology 
Abstract: The extension evaluation method (EEM) has been applied to evaluate water quality. However, in real-life applications, sample data may be given as intervals because of errors produced in measurement, poor data brought by poor information, and imprecise data induced by human errors. To deal with data set in the form of a number of intervals, the interval extension evaluation method (IEEM) has been previously introduced. However, the correlative degrees that are obtained from IEEM may yield negative numbers. In evaluating water quality one generally assigns ranks or grades that are non-negative. Then it is expected that correlative degrees must be non-negative. This paper provides a novel method, i.e., the interval clustering approach (ICA), which is based on the grey clustering approach (GCA) and interval-valued fuzzy sets, to overcome this negativity issue. The method also introduces the notion of weightings in the form of intervals, by which interval samples can be analyzed with a view to delineating the important attributes via the interval weights. To demonstrate our proposed approach, the ICA is applied to evaluate the water quality of three different cross-sections of the Fen River, the second major branch river of the Yellow River in China. Our proposed method is a useful tool for the analysis of poorly measured data, poorly collected data and imprecise hydrological data which are very commonly encountered in water research. In brief, our method is novel for analyzing interval data. The GCA is a special case of the ICA, as these intervals are degenerated single values.
URI: http://hdl.handle.net/10397/11629
ISSN: 0022-1694
DOI: 10.1016/j.jhydrol.2013.03.009
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

15
Last Week
0
Last month
1
Citations as of Dec 2, 2017

WEB OF SCIENCETM
Citations

12
Last Week
0
Last month
0
Citations as of Dec 10, 2017

Page view(s)

49
Last Week
5
Last month
Checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.