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针对供应链收益分配问题,在经典Shapley值法基础上,考虑影响供应链收益分配的风险暴露、技术创新、努力程度以及资产投入四修正个因子,利用改进的灰色关联度系数确定修正因子权重,通过TOPSIS来确定收益分配系数,从而构建了一个充分反映主客观信息的Shapley-RIEP模型。该模型不仅弥补了经典Shap-ley值法中考虑因子缺失的问题,还克服了修正模型里修正系数主观性和随意性的弱点,并通过算例验证其有效性和适用性。
Based on the classical Shapley value method, considering the risk exposure, technological innovation, effort and four factors of asset investment that affect the distribution of revenue in the supply chain, this paper uses the improved gray relational coefficient to determine the weight of the correction factor, By TOPSIS to determine the income distribution coefficient, thus constructing a Shapley-RIEP model that fully reflects the subjective and objective information. The model not only makes up for the missing factor of classical Shap-ley value method, but also overcomes the weakness of the subjectivity and arbitrariness of the correction coefficient in the modified model. The validity and applicability of the model are validated by examples.