Improved Entropy Weighting Model in Water Quality Evaluation

Yan Feng, Yi Fanghui and Chen Li ()
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Yan Feng: Nanchang University
Yi Fanghui: Wuhan University
Chen Li: Wuhan University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2019, vol. 33, issue 6, No 9, 2049-2056

Abstract: Abstract Entropy weighting model (EWM) is a widely used weighting method in water quality assessment. EWM assigns weights on the basis of the dipartite degree principle. A large weight is assigned for a pollutant with high dipartite degree, and vice versa. However, this dipartite degree principle cannot properly represent the pollutant’s importance through frequent practice when its observation data focus on the worst category. Therefore, weight parameters become illogical. In this study, we reveal this problem through a typical example generated via Monte Carlo simulation. Then, the conventional EWM is improved on the basis of relative entropy theory. In comparison with the conventional EWM, the improved EWM can comprehensively represent indicators’ dipartite degrees and pollution conditions, thereby increasing the rationality of weight results.

Keywords: Entropy weighting model; Relative entropy; Dipartite degree principle; Pollution degree principle; Water quality assessment (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11269-019-02227-6

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