Traditional TOPSIS model expends a lot o[ workload in making standardized decision matrixes,as the numbers ofrnindexes are more. Furthermore, it has more subjectivity because of the un-ncrmalizaticn for determining both positive andrnnegative ideal points. By setting up the reference values and the normalized transformation forms of eutrophic indexes, thernindexes,which are close to each normalized values in same standard,can be classified. Therefore, the workload can be greatlyrnreduced because gf the aame design gf standardized decision matrix for the same class indexes. The normalized indexes valuesrnTOPSIS model Is uesd to the eutrophication evaluation ijs Yanghe's Reservoir, the results of eraluation consistent with the ease.rnTOPSIS model hased on normalized indexes values is not only simple and practical, but also capable of normalization for makingrnthe determination of both positive and negative points.%当指标较多时,传统的TOPSIS模型构造标准化决策矩阵的工作量大,且正、负理想点的确定未规范化,主观性较强.提出在适当设定富营养化指标“参照值”及指标值的“规范变换式”基础上,将同级标准的规范值相近的指标归为一类,因而同属一类的指标可设计为相同的标准化决策矩阵,大大减少工作量.将指标规范值的TOPSIS模型用于洋河水库的富营养化评价,结果与实况相符合.基于指标规范值的TOPSIS模型不仅简单、实用,而且使正、负理想点确定能规范化.
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