基于熵权TOPSIS法的蓖麻联合收割机选型评价研究

Study on model selection evaluation of castor combine harvester based on entropy-weight TOPSIS method

针对蓖麻联合收割机选型评价指标体系复杂的特点,对蓖麻联合收割机选型评价问题展开研究。TOPSIS是一种常用的多属性决策方法,熵权法是一种常用的客观赋权法,熵权法和TOPSIS法相结合具有客观性强、计算简便等特点,将熵权法应用于蓖麻联合收割机选型评价指标权重的计算,克服以往方法的主观随意性,建立蓖麻联合收割机选型评价指标体系,在此基础上,建立基于熵权TOPSIS法的蓖麻联合收割机选型评价模型。以11种备选机型为例进行实验验证,结果表明,所得的优劣排序结果与已有研究成果的结论完全一致,从而验证所构建模型的有效性和先进性。

Aiming at the complexity of the evaluation index system of castor combine harvester selection,the evaluation of castor combine harvester selection was studied.TOPSIS is a commonly used multi-attribute decision-making method.Entropy weight method is a commonly used objective weighting method.The combination of entropy weight method and TOPSIS method has the characteristics of strong objectivity and simple calculation.The entropy weight method is applied to calculate the weights of evaluation indexes for castor combine harvester selection,which overcomes the subjectivity of the previous methods and establishes the model.Based on the evaluation index system of castor combine harvester selection,an evaluation model of castor combine harvester selection based on entropy weight TOPSIS method was established.Eleven alternative models are taken as an example to verify the effectiveness and advancement of the model.The results show that the ranking results are in good agreement with the existing research results.