An attribute recognition model based on entropy weight for evaluating the quality of groundwater sources |
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Authors: | CHEN Suo-zhong WANG Xiao-jing ZHAO Xiu-jun |
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Affiliation: | 1. School of Resource and Earth Science, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China 2. Henan Academy of Geophysical and Engineering Exploration, Zhengzhou, Henan 450044, China |
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Abstract: | In our study, entropy weight coefficients, based on Shannon entropy, were determined for an attribute recognition model to model the quality of groundwater sources. The model follows the theory previously proposed by Chen Q S. In the model, firstly, the author establishes the attribute space matrix and determines the weight based on Shannon entropy theory; secondly, calculates attribute measure; thirdly, evaluates that with confidence criterion and score criterion; finally, an application example is given. The results show that the water quality of the groundwater sources for the city comes up to the grade II or III standard. There is no pollution that obviously exceeds the standard and the water can meet people's needs .The results from an evaluation of this model are in basic agreement with the observed situation and with a set pair analysis (SPA) model. |
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Keywords: | water quality evaluation groundwater sources entropy weigh attribute recognition model |
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