基于知识–信任网络的多属性群体共识决策方法
Multi-Attribute Group Consensus Decision Making Method Based on Knowledge-Trust Network
摘要: 文章针对决策者的知识交互与信任之间的复杂关系及其对共识形成过程的影响,提出了基于知识–信任网络的多属性群体共识决策方法。首先,考虑到决策者意见表达的不确定性,采用犹豫模糊语言术语集表征决策者意见;其次,基于决策者的知识水平与决策者之间的信任关系,构建决策者之间的知识–信任网络,并确定决策者权重;同时,构建基于知识–信任网络的共识决策模型,达成群体共识;最后,通过新能源汽车车身材料选择的算例,验证本文所提共识方法的有效性。
Abstract: Aiming at the complex relationship between knowledge interaction and trust of decision makers and its influence on the process of consensus formation, this paper proposes a multi-attribute group consensus decision-making method based on knowledge-trust network. Firstly, considering the uncertainty of decision maker’s opinion expression, the term set of hesitation fuzzy language is used to represent decision maker’s opinion. Secondly, based on the knowledge level of decision makers and the trust relationship between decision makers, the knowledge-trust network among decision makers is constructed, and the weight of decision makers is determined. The consensus decision model based on knowledge-trust network is constructed to achieve group consensus. Finally, through the new energy vehicle body material selection example, to verify the effectiveness of the consensus model proposed.
文章引用:程一敏. 基于知识–信任网络的多属性群体共识决策方法[J]. 运筹与模糊学, 2024, 14(3): 1257-1268. https://doi.org/10.12677/orf.2024.143355

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