数据采集与处理2024，Vol.39Issue(5)：1147-1162,16.DOI:10.16337/j.1004-9037.2024.05.008
数据驱动下图模型冲突分析决策支持系统构建研究
Data-Driven Decision Support System Construction Based on Graph Model for Con-flict Resolution
摘要
Abstract
Nowadays,conflicts frequently occur due to issues such as economy,technology,geostrategy,and international order,and the scale of conflicts is shifting from individual and small-scale group conflicts to complex large-scale group conflicts.Compared to conflicts between individuals,large-scale group conflicts have a longer duration and wider scope,which have a negative impact on China's social order and economic development.Graph model for conflict resolution(GMCR)has been widely applied to water resources,environmental management and economic policy as a theoretical tool for solving conflict problems,and has achieved good results.However,the increasing number of participants and strategies in conflict have led to an exponential increase in situation,and the uncertainty of the subject's preference behavior is enhanced,so the traditional decision support system GMCRⅡ is difficult to solve such complex conflicts.Based on the algebraic expression of strength preference conflict analysis theory,this paper designs a conflict analysis WEB system SP-GMCRDSS based on.NET platform,including four modules:feasible state generation,state transition setting,strength preference sequence generation and stability analysis engine.Compared with existing systems,SP-GMCRDSS can more efficiently assist conflict analysts in solving large and complex data-driven conflicts.The text mining technology is used to extract strategy,which can assist analysts to determine the input of decision support system,and reduce the subjectivity of model building.Finally,modeling,solving,and analysis functions of the system are demonstrated through the case"Lanzhou Water Pollution Conflict Event".关键词
图模型冲突分析/强度偏好/决策支持系统/WEB系统/数据驱动Key words
graph model for conflict resolution(GMCR)/strength of preference/decision support system/WEB system/data driven分类
管理科学引用本文复制引用
徐海燕,孔杨,戴思凡..数据驱动下图模型冲突分析决策支持系统构建研究[J].数据采集与处理,2024,39(5):1147-1162,16.基金项目
国家自然科学基金(72471117,71971115) （72471117,71971115）
智能决策与数字化运营工业和信息化部重点实验室项目(NJ2023027). （NJ2023027）
