大群体应急决策中基于价值测度的模糊本体知识融合方法及应用  

Knowledge Fusion Method and Application for Fuzzy Ontologies Based on Value Measure in Large Group Emergency Decision-Making

作　　者：徐选华[1] 代笑含 陈晓红[1] Xu Xuanhua;Dai Xiaohan;Chen Xiaohong(Business School,Central South University,Changsha 410083,China)

机构地区：[1]中南大学商学院,长沙410083

出　　处：《数据分析与知识发现》2023年第4期129-144,共16页Data Analysis and Knowledge Discovery

基　　金：国家自然科学基金项目(项目编号:71971217);国家自然科学基金重点项目(项目编号:72091515);国家自然科学基金重点项目(项目编号:71790615)的研究成果之一。

摘　　要：【目的】针对大群体应急决策中大量不确定和不准确的信息难以表示和存储的问题,提出一种基于模糊本体的知识融合方法。【方法】使用多粒度犹豫模糊语言构建模糊本体,基于K-Means实现专家聚类,定义价值测度以求解聚集权重和实现知识融合,从而构建大群体应急知识库以确定最优方案。【结果】实现对专家知识的表示和存储以及在大群体应急决策中的应用。案例分析表明本方法能够实现应急知识库的构建、提高知识融合效率、处理多阶段应急决策问题。【局限】未考虑专家间的复杂关系;专家聚类只考虑了意见相似度;属性信息还可以从其他维度进行确定。【结论】本研究丰富了决策知识融合的方法,为处理多阶段大群体应急决策提供了新思路。[Objective]This paper proposes a knowledge fusion method based on fuzzy ontologies,aiming to address the issues of representing and storing uncertain or inaccurate information in large-group emergency decision-making.[Methods]First,we used the multi-granular hesitant fuzzy language to construct fuzzy ontologies.Then,we implemented expert clustering based on K-Means and defined the value measure to determine cluster weights and realize knowledge fusion.Finally,we built an emergency knowledge base for the large group to find the optimal solutions.[Results]The proposed method could represent and store expert knowledge and utilize them in the emergency decision-making of a large group.The case analysis shows that our new method constructed an emergency knowledge base,improved the efficiency of knowledge fusion,and handled multi-stage emergency decision-making.[Limitations]The proposed model did not consider complex relationships among experts and only included the similarity of opinions in expert clustering.The attribute information can also be determined from other dimensions.[Conclusions]This study enriches the method of decision knowledge fusion and provides new directions for multi-stage emergency decision-making of large groups.

关 键 词：大群体应急决策 价值测度 模糊本体 知识融合 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] C934[自动化与计算机技术—控制科学与工程]