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研究一种基于多目标决策的决策者偏好冲突且属性权重信息未知的多类评价信息群体决策方法.首先,建立以决策方案相对贴近度和决策成员偏好冲突程度为目标函数的多目标决策模型;然后,利用极小极大方法求解该多目标决策模型,得到各方案的属性权重和决策成员权重,根据计算各个方案的相对贴近度确立方案优劣排序和最优方案;最后,通过数值案例的计算分析验证了决策方法的有效性和合理性.
This paper studies a multi-class evaluation information group decision-making method based on multi-objective decision-making preference conflicts and unknown attribute weight information.Firstly, a multi-objective decision-making model is established with the relative closeness of the decision-making scheme and the conflict degree of decision- Then, using the minimax method to solve the multi-objective decision-making model, the attribute weights of each scheme and the weight of decision-making members are obtained. Based on the relative closeness of each scheme, the optimal and optimal schemes are established. Finally, The calculation and analysis verify the validity and rationality of the decision-making method.