事件和参数双因素驱动的智能模型集成机制

Intelligent model integration mechanism drove by double factors of events and parameters

为了增强DSS模型的可重用性及系统的元决策能力,提出了利用事件和参数共同驱动的双因素模型集成机制。将DSS中的可重用模型体系分解为由元模型、复合模型、过程模型构成的层次结构,重新定义了工作流管理领域中的ESP规则、元模型和复合模型的结构及通用模型接口;元模型和复合模型中的context组元利用ESP规则描述模型的应用规则,用户可通过修改ESP规则实现模型的重用和集成;在此基础上设计出以事件驱动为主和参数驱动为辅的元模型智能集成机制。以高技术虚拟企业利益分配策略优选模型的构建为例,展示了智能模型定义的方法及其集成细节。

In order to improve the capability of model reuse and meta-decision of DSS, a model integration mechanism drove by the double factors of event and parameter is proposed. The reusable model system is disintegrated into a hierarchical architecture composed of procedure models, compound models and meta-models. ESP rules which are always used in workflow management are redefined as well as the structure and the uniform interface of meta-model and compound model. The sub-component named Context in the rede- fined models uses ESP rules to depict the application rules of models, so that user can implement model reuse and integration by amend- ing the ESP rules in the sub-component of Context. Furthermore, an intellectual integration mechanism of meta-models drove mainly by events and secondarily by parameters is deigned. A case study about how to establish a model for choosing the optimal profits sharing tactics of high-tech virtual enterprise is conducted to demonstrate some details of intellectual model definition and integration.