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多属性关联的效用共识决策及其在退耕还林问题中的应用
Utility Consensus Decision-Making Based on Multi-Attribute Interacting and Its Application to the Grain to Green

DOI: 10.12677/MSE.2022.114065, PP. 518-524

Keywords: 共识决策,最大效用,属性关联,退耕还林
Consensus Decision-Making
, Maximum Utility, Interacting Attributes, Grain to Green

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Abstract:

多属性群决策问题是群决策领域的热点问题,通常是多个决策者在多个决策属性上的意见通过多轮协商和意见更新,从而达成共识的过程。然而,现实问题的复杂性使得多个属性间关系并非现有研究假设中的相互独立,而是存在着相互制约、相互影响的或已知或未知的关联关系。属性间关联关系的存在影响着群决策共识过程中的意见调整过程,进而对共识结果产生了不可忽视的影响。此外,在共识达成过程中,意见调整过程和决策者共识效用都是影响最终共识结果的重要因素,关系着共识方案的后续实施是否顺利。因此,本文将考虑共识决策中多属性间的关联关系,讨论考虑属性关联关系下的效用共识决策问题,并将其应用于退耕还林问题中。
Multi-attribute group decision making is a hot topic in the field of group decision making. It is usu-ally a process in which multiple decision makers reach consensus through multiple rounds of con-sultation and opinion updating on multiple decision attributes. However, due to the complexity of practical problems, the relationships among multiple attributes are not independent of each other as hypothesized in the existing research, but there are known or unknown correlations that restrict and influence each other. The existence of association relationship between attributes affects the process of opinion adjustment in group decision making, and then has a non-negligible impact on the consensus result. In addition, in the process of consensus reaching, the process of opinion ad-justment and the final consensus result are both important factors affecting the consensus utility of decision makers, which are related to the smooth implementation of the consensus program. Therefore, this paper will consider the simple pairwise association relationship and complex mul-ti-level association network among multiple attributes in consensus decision making, and discuss the utility consensus decision making problem considering attribute association relationship and apply it to the Grain to Green.

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