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理想点法(TOPSIS法)能够很好克服主成分分析法的信息量损失问题,它从实际数据出发,根据理想点原理,寻求距理想点最近,距负理想点最远的结果作为最优结果,同时考虑了最优情况和最差情况,更适合物流企业绩效评价。但是TOPSIS法也存在一定的不足,即指标权重通常采用的都是层次分析法等主观赋权法,客观性较差,故而本文根据综合评价理论与方法,拟引入变异系数法对指标进行赋
The TOPSIS method can well overcome the information loss problem of the principal component analysis. Based on the actual data, the TOPSIS method is based on the principle of ideal points, finding the nearest result to the ideal point and the farthest point from the negative ideal point as the optimal result , Taking into account the optimal situation and the worst case, more suitable for logistics enterprise performance evaluation. However, the TOPSIS method also has some shortcomings. For example, subjective weighting methods such as AHP are commonly used in indicator weighting, and the objectivity is poor. Therefore, according to the theory and method of comprehensive evaluation, this paper proposes to introduce the coefficient of variation