Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/36318
Title: Assessment of river water quality based on theory of variable fuzzy sets and fuzzy binary comparison method
Authors: Wang, WC
Xu, DM
Chau, KW 
Lei, GJ
Keywords: Water quality
Variable fuzzy sets
Variable fuzzy evaluation model
Fuzzy binary comparison method
Issue Date: 2014
Publisher: Springer
Source: Water resources management, 2014, v. 28, no. 12, p. 4183-4200 How to cite?
Journal: Water resources management 
Abstract: There has been an increasing need for the proper evaluation of river water quality in order to safeguard public health and to protect the valuable fresh water resources. In order to overcome the own limitations of the traditional evaluations which can only use a point value instead of an interval for grading standards, on the basis of the fuzzy binary comparison method (FBCM) and the theory of variable fuzzy sets (VFS), an integrated variable fuzzy evaluation model (VFEM) is proposed for the assessment of river water quality in this paper. This model possesses the preciseness of the algorithm and operability in practice, can well solve the grading standards which are interval form. In order to explore and compare the present method with other traditional methods, two cases studies in the Three Gorges and Tseng-Wen River are made. The results show that the proposed VFEM method can convey water cleanliness to certain degree by using the eigenvector of level H, which is much stricter in the superior level, and that it can improve the veracity for the assessment of water quality.
URI: http://hdl.handle.net/10397/36318
ISSN: 0920-4741 (print)
1573-1650 (online)
DOI: 10.1007/s11269-014-0738-4
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

16
Citations as of Feb 25, 2017

WEB OF SCIENCETM
Citations

31
Last Week
0
Last month
Citations as of Jul 15, 2017

Page view(s)

76
Last Week
1
Last month
Checked on Jul 9, 2017

Google ScholarTM

Check

Altmetric



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