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     Advance Journal of Food Science and Technology


Application of Improved Grey Relation Analysis to Water Quality Evaluation

Wanzhen Liu
Changsha Vocational and Technical College, Changsha 410010, P.R. China
Advance Journal of Food Science and Technology  2015  4:293-297
http://dx.doi.org/10.19026/ajfst.7.1311  |  © The Author(s) 2015
Received: July ‎27, ‎2014  |  Accepted: September ‎13, ‎2014  |  Published: February 10, 2015

Abstract

The Evaluation of water quality is one of the important aspects of water resource management. Many indicators are needed to be considered in the evaluation process and thus the water quality evaluation problem is actually a Multiple Attribute Decision Making (MADM) problem. The aim of this study is to put forward a new water quality evaluation method based on grey analysis method. In order to avoid the subjective randomness on the weight of each evaluation indicator, the coefficient of variation method is adopted to determine the attribute weights of water quality evaluation. A practical example is given to illustrate the effectiveness and feasibility of the proposed method.

Keywords:

Coefficient of variation, grey relation analysis, multiple attribute decision making, water quality evaluation,


References

  1. Cao, J., G. Cao and W.W. Wang, 2012. A hybrid model using analytic network process and gray relational analysis for bank's IT outsourcing vendor selection. Kybernetes, 41: 994-1013.
    CrossRef    
  2. Chen, R.J., H.L. Qian, D. Yuan and H.D. Kan, 2010. Improved comprehensive index method and its application to evaluation of source water quality in Shanghai. Acts Sci. Circumstantiae, 30(2): 431-437.
  3. Deng, J.L., 1989. Introduction of grey system. J. Grey Syst., 1: 1-24.
  4. Huang, G.H. and J. Xia, 2001. Barriers to sustainable water-quality management. J. Environ. Manage., 61(1): 1-23.
    CrossRef    PMid:11381454    
  5. Icaga, Y., 2007. Fuzzy evaluation of water quality classification. Ecol. Indic., 7: 710-718.
    CrossRef    
  6. Kou, W.J., 2013. Application of modified fuzzy comprehensive evaluation method in the evaluation of ground water quality. South-to-North Water Trans. Water Sci. Technol., 2: 71-75.
  7. Lee, W.S. and Y.C. Lin, 2011. Evaluating and ranking energy performance of office buildings using grey relational analysis. Energy, 36: 2551-2556.
    CrossRef    
  8. Liu, D.J. and Z.H. Zou, 2012. Water quality evaluation based on improved fuzzy matter-element method. J. Environ. Sci., 24(7): 1210-1216.
    CrossRef    
  9. Tseng, M.L., 2010. Using linguistic preferences and grey relational analysis to evaluate the environmental knowledge management capacity. Expert Syst. Appl., 37: 70-81.
    CrossRef    
  10. Wang, L.J. and Z.H. Zou, 2008. Application of improved attributes recognition method in water quality assessment. Chinese J. Environ. Eng., 2(4): 553-556.
  11. Wang, Y., L. Shao, F.T. Yang and X.D. Zhou, 2012. Comprehensive evaluation method of water quality based on improved set pair analysis. J. Hydroelectr. Eng., 31(3): 99-106.
  12. Wong, H. and B.Q. Hu, 2014. Application of improved extension evaluation method to water quality evaluation. J. Hydrol., 509: 539-548.
    CrossRef    
  13. Yu, W.Z., D.S. Tang and T.C. Lu, 2013. Application of attribute recognition method combined with entropy theory to evaluation of groundwater quality. Int. J. Hydroelectr. Energ., 31(7): 41-43.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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