基于熵值赋权的DTOPSIS法与灰色关联度分析在玉米品种综合评价中的比较

Comparison of Entropy Weighted DTOPSIS Method and Grey Relational Degree Analysis in Comprehensive Evaluation of Maize Varieties

以黑龙江省湿润区八五二农场种植的36个玉米品种为例,分别利用DTOPSIS法与灰色关联度分析法综合分析玉米的穗长、秃尖长、穗行数等13个指标,利用熵值法赋予各指标不同权重,对玉米进行综合评价,并分析两种方法在评价能力上的优劣。结果表明,基于熵值赋权的DTOPSIS法与灰色关联度分析法评价的结果具有一致性,均能公正科学地对玉米品种进行综合评价,DTOPSIS法计算的Ci值差异性大于灰色关联度分析法计算的Gi值差异性,表明DTOPSIS法更能区分玉米品种的优劣,是更为准确的评价方法。

Use 36 maize varieties grown in the 852 farm in the wet area of Heilongjiang province as an example, the DTOPSIS method and gray correlation analysis method were used to comprehensively analyze the ear length, bald tip length, ear rows, etc., a total of 13 indicators. The entropy method was used to give different weights to each index, and the comprehensive evaluation of maize was carried out, the two methods on the evaluation ability of inferiority were also analyzed.