基于离差最大化和OWGA算子的多属性群决策方法

发布时间：2018-09-05 09:48

【摘要】：本文将离差最大化法和有序加权几何平均(OWGA)算子相结合,先根据群决策者对方案属性的客观评价值,基于离差最大化法计算出属性的权重,然后利用OWGA算子对群体决策信息进行集结,据此给出了多方案间的排序,该方法充分发挥了离差最大法的客观赋权性和OWGA算子的有效集结性,最后将该方法应用于金融机构风险监管系统评价中,实例表明了该方法的可行性和实用性。
[Abstract]:In this paper, the deviation maximization method is combined with the ordered weighted geometric mean (OWGA) operator. Firstly, the weight of the attribute is calculated based on the objective evaluation value of the scheme attribute by the group decision makers, and the deviation maximization method is used to calculate the weight of the attribute. Then the OWGA operator is used to aggregate the information of group decision making, according to which the ranking among multiple schemes is given. The method gives full play to the objective weight of the maximum deviation method and the effective aggregation of the OWGA operator. Finally, the method is applied to the risk supervision system evaluation of financial institutions. The example shows the feasibility and practicability of the method.
【作者单位】：北京化工大学经济管理学院北京化工大学经济管理学院
【基金】：国家自然科学基金资助项目(70372011) 北京化工大学青年教师基金项目资助(QN0521)
【分类号】：C934

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