我们提出了一种基于前景理论和量子概率论(QPT)的共识改进机制,该机制可以在语言分布群体决策中体现决策者(DMs)的非理性和不确定行为。在这个框架中,DM寻求就前景价值与不同的部分协议合作的可能性。考虑到参考信息应全面准确,因为它指导信息修改并影响共识效率,客观信息和主观信息相结合,以获取信息。一些研究已经证实,当大脑信念流向不同的决策分类路径时,会发生干扰效应。为了解决这个问题,将QPT引入信息集成中,通过设计的基于最大个体效用的多目标规划模型可以获得干扰项的优化值。最后,随着参考点在偏好调整过程中的变化,构建了一个面向参考点的动态一致性模型,以获得优化的修改。对定点医院选择的应急预案进行了个案研究,并进行了比较分析,以证明该模型的可行性和优势。提供了一些重要的见解,以模拟最有可能的意识流入DM和主持人的不同决策分类的可能性。
We present a
consensus improvement mechanism based on prospect theory and quantum probability theory (QPT) that enables the manifestation of irrational and uncertain behaviors of decision makers (DMs) in linguistic distribution group decision making. In this framework, the DMs pursue the possibility of working with different partial agreements on prospect values. Considering that the reference information should be comprehensive and accurate as it guides information modification and affects
consensus efficiency, objective and subjective information is integrated to obtain the information. Several studies have verified that the interference effect will occur when the brain beliefs flow towards the different decision classification paths. To address this problem, QPT is introduced into the information integration and the optimized value of the interference term can be acquired by the designed multi-objective programming model based on the maximum individual utility. Finally, as the reference point changes during the preference adjustment process, a dynamic reference point-oriented
consensus model is constructed to obtain the optimized modification. A case study is performed on the emergency plan for the selection of designated hospitals, and comparative analyses are performed to demonstrate the feasibility and advantages of the proposed model. Several important insights are offered to simulate the most likely possibility of consciousness flowing into different decision classifications for DMs and moderators.