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摘要: 现有高速公路养护管理系统仅仅是简单的决策支持系统, 以模型来驱动决策, 决策的智能化程度不高, 因此为了提高公路养护决策的能力和智能化水平, 提出了基于SDSS的高速公路养护管理系统, 结合智能决策支持系统和商业智能技术, 在决策过程中以模型、知识、数据共同驱动决策。综合决策支持系统由数据仓库、联机分析处理、数据挖掘、模型库、知识库和数据库组成, 其中数据仓库能够实现对决策主题数据的存储和综合; 联机分析处理可以实现多维数据分析; 数据挖掘可以挖掘数据库和数据仓库中的知识; 模型库可以实现多个广义模型的组合辅助决策; 数据库可以为辅助决策提供数据; 专家系统可以利用知识推理进行定性分析。它们有机集成的综合决策支持系统将相互补充和依赖, 能发挥各自的辅助决策优势, 实现更有效的辅助决策。Abstract: Present expressway maintenance management system (EMMS) is a simple decision support system (DSS), its decision-making is drived by model, and its intelligent level of decision-making is lower.The EMMS based on synthetic decision support system (SDSS) was presented in order to improve the ability and intelligent level of expressway maintenance decision-making, it integrated intelligence decision support system (IDSS) and business intelligence (BI) technology, and drived the system decision-making by model, knowledge and data.The system is composed of data warehouse (DW), on line analytical processing (OLAP), data mining (DM), model storehouse, knowledge storehouse and database.DW can store and synthetize the data of decision theme, OLAP can realize multi-dimension data analysis, DM can mine the knowledge from database and DW, model storehouse can realize combination assistant decision-making by many generalized models, database can provide data for assistant decision-making, expert system (ES) can realize qualitative analysis by knowledge reasoning.The integrated system can exert its each advantage, and realize more effective assistant decision-making by their mutual makeup and dependence.
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