Abstract
Traditional fuzzy comprehensive evaluation model for determining the index weights has its one-sidedness and the evaluations results sometimes do not reflect the water quality with high accuracy. With the unascertained comprehensive evaluation model, the paper conducts the analysis of the Yangtze River water quality in the past two years. The distinguish weight is defined firstly, and then unascertained measure comprehensive evaluation model for water quality based on distinguish weight is established. The result combines a variety of pollution index and shows reasonable assessment on water quality at the observation sites.
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Xu, B., Cai, Z. (2012). Unascertained Measure Model for Water Quality Evaluation Based on Distinguish Weight. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11276-8_27
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DOI: https://doi.org/10.1007/978-3-642-11276-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11275-1
Online ISBN: 978-3-642-11276-8
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