考虑决策信息变化的多属性群决策方法研究
A Multi-attribute Group Decision Making Method Considering Variable Decision Information
禹春霞 1成煜鑫 1张路平 2王建良1
作者信息
- 1. 中国石油大学(北京)经济管理学院,北京 102249
- 2. 西南财经大学经济与管理研究院,四川成都 610074
- 折叠
摘要
动态变化的实际决策环境使得决策者的决策偏好发生变化,进而使决策者在不同时间点的决策信息发生变化,从而影响决策结果.因此,考虑决策者信息变化的多属性群决策问题是一个值得关注的问题.进而提出了考虑决策信息变化的多属性群决策方法,以获得更加符合实际的评价结果.首先,基于专家共识最大化的原则,根据专家对决策单元属性的评价信息构建非线性规划模型求解专家权重,根据专家对决策单元属性评价信息的变化调整专家权重;其次,基于结构熵权法,根据专家对属性的排序信息确定属性权重,根据专家对属性重要性排序的变化调整属性权重,采用EDAS方法对决策单元进行排序.最后,采用供应商评价的算例验证了所提出方法的可靠性及有效性.
Abstract
The dynamic and changing nature of the real decision-making environment causes shifts in decision-makers'preferences,thereby altering the decision information available to them at different time points and ultimately impacting the decision results.Therefore,addressing the multi-attribute group decision making(MAGDM)problem with consideration of changes in decision information is essential.A multi-attribute group decision making method was proposed,which considered changes in decision information to obtain evaluation results that aligned more closely with reality.Firstly,based on the principle of maximizing expert consensus,a nonlinear programming model was constructed to obtain expert weights according to the evaluation information of decision unit attributes by experts.The expert weights were adjusted based on changes in the evaluation information of decision unit attributes by experts.Secondly,using the structural entropy weight method,attribute weights were determined based on the sorting information of attributes by experts,and then adjusted according to changes in the sorting of attribute importance by experts.Finally,the EDAS method was used to rank the decision units.An example of supplier evaluation was presented to verify the reliability and effectiveness of the proposed method.
关键词
多属性群决策/专家权重/属性权重/决策信息变化Key words
MAGDM/expert weight/attribute weight/dynamic decision information引用本文复制引用
基金项目
国家自然科学基金(72271244)
国家自然科学基金(72274213)
出版年
2024
NETL
NSTL
万方数据