应急环境下双重大规模行为主体知识融合方法及在方案排序中的应用  被引量:1

Knowledge fusion method and application in alternative sorting of dual large-scale behavior agents under emergency environments

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作  者:徐选华[1] 周鋆洁 XU Xuan-hua;ZHOU Jun-jie(School of Business,Central South University,Changsha 410083,China)

机构地区:[1]中南大学商学院,长沙410083

出  处:《控制与决策》2024年第5期1675-1686,共12页Control and Decision

基  金:国家自然科学基金重大项目(72293574,72091515);国家自然科学基金项目(71971217)。

摘  要:针对突发事件的复杂性、风险性、特殊性、行为主体知识结构的差异性以及有限性,将大群体智慧引入应急决策中,提出一种应用新的融合主体知识水平的方案选择方法.首先,在公众层面基于偏好序列向量和改进的知识测量公式确定公众的知识水平,依据分歧矩阵和控制者进行公众聚类并对子群间的知识水平标准化,形成基于公众行为知识水平的方案排名矩阵;然后,在专家层面基于多粒度二元语义和灰色关联模型确定专家的知识水平和属性权重,通过聚合算子得到专家对方案的评估信息并形成专家对方案排名的支持矩阵;接着,引入参考公众共识阈值,形成融合上述双重主体的共识矩阵,并进行方案排序;最后,通过Covid-19案例和对比分析验证所提出方法的有效性和合理性.Due to the complexity,risk and specificity of emergencies and the difference and limited knowledge structure of agents,a new alternatives selection method using fusion agents’knowledge level is proposed by introducing large group wisdom into emergency decision-making(EDM).First,the public’s knowledge level is determined by preference sequence vectors(PSV)and improved knowledge measurement formulas,and public are grouped by the divergence matrix and controller,and the knowledge level between subgroups is standardized to form a support matrix for the ranking of alternatives based on the public’s knowledge level.Second,the experts’knowledge level and attributes are determined by the multi-granularity binary linguistic sets(MG-2LS)and the gray relational analysis(GRA)model.The experts’support matrix for the alternatives ranking is formed by combining the experts’evaluation information obtained by the aggregation operator.Then,the public consensus threshold is introduced to form the consensus matrix which integrates the abovementioned two agents,and the ranking of schemes is realized.Finally,the validity and rationality of the proposed method are verified by the case of Covid-19 and comparative analysis.

关 键 词:应急环境 大规模行为主体 双重主体 知识水平 共识达成 

分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]

 

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