一种基于CAS原理的智能决策支持系统模型

剖析了传统决策支持系统发展面临的困难，运用复杂自适应系统(CAS)的原理和自组织的观点，提出了一种新的基于CAS原理的智能决策支持系统模型和设计思路，论述了该模型的基本结构、运作过程及与传统DSS的区别、并探讨了规则编码、竞争机制与信用分派及规则发现等问题．这种新思路有助于解决数据、知识和模型的一体化管理问题，加强DSS的自适应能力和智能性。

New model of IDSS based on theory of complex adaptive system

The difficulties encountered in the development of traditional decision support system(DSS)are analyzed first. Aimed at solving the integration of data, knowledge and model, a new model and design idea of IDSS based on the theory of complex adaptive system(CAS)are proposed, which applied the principle of CAS and the view of self-organization. Then the basic architecture and the operation process of the new model are discussed briefly, along with their differences from the traditional DSS. The issues of rule encoding,competition mechanism, credit dispatching and rule discovering are also explored. It's also demonstrated that this framework facilitates to solve the problem of integration of data, knowledge and model and strengthen the adaptability and intelligence of DSS.