Using fuzzy theory and information entropy for water quality assessment in Three Gorges region, China

• Published in: Expert systems with applications Vol. 37; no. 3; pp. 2517 - 2521
• Main Authors: Liu, Li, Zhou, Jianzhong, An, Xueli, Zhang, Yongchuan, Yang, Li
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.03.2010
• Subjects: Assessments; Entropy (Information theory); Expert systems; Freshwater; Fuzzy; Fuzzy logic; Fuzzy mathematics; Fuzzy set theory; Information entropy; Mathematical models; Three Gorges region; Water quality; Water quality assessment; China, People's Rep., Sichuan Prov., Changjiang R., Three Gorges Dam; China, People's Rep; Three Gorges region; Water quality assessment; Fuzzy mathematics; Information entropy
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2009.08.004

Considering that the water quality assessment is a fuzzy concept with multiple indicators and classes, and there are still some limits of fuzzy comprehensive evaluation method, the fuzzy mathematics method and the information entropy theory are combined to establish an improved fuzzy comprehensive evaluation method for water quality assessment. In this method, the exponential membership function has been adopted to solve the zero-weight problem, and the information entropy has been used to modify the coefficients of weight in order to exploit the useful information of data to a maximum extent. In addition, the weighted average principle has been taken to replace the maximum membership principle for reserving the information in the assessment coefficients as much as possible. The water quality of Three Gorges region is taken as an example and the results show that the improved fuzzy comprehensive evaluation method is superior to the traditional model and worth to be recommended.