A NEW MODEL FOR WATER QUALITY ASSESSMENT

摘要

Cloud model provides a new way of combining fuzziness and randomness, which is suited to water quality assessment, a multiple-criteria decision making process. This study proposes an eutrophication evaluation method, named MNCM (Multidimensional Normal Cloud Model). The model regards each evaluation factor as a one-dimensional attribute of MNCM and determines the weights of evaluation factors by entropy. MNCM is then used to evaluate eutrophication of some typical lakes in China. The results of MNCM are found consistent with the actual water status and that of the reference method (Fuzzy Comprehensive evaluation method). MNCM can be an effective evaluation tool for water quality.