Abstract

A method for generating adaptive decision support systems is examined in this paper. Models, algorithms, and programming technology making possible the use of knowledge of distributed experts for system adaptation to environmental variation that increases its life-cycle and the efficiency of decision-making processes are presented. The multicomponent adaptive model of a subject domain for the problem on decision-making and algorithms of structure and information adaptation of the model are given. The open architecture of the adaptive decision support system in federation form is also presented. The architecture is developed according to the concept of distributed simulation standard High Level Architecture and it secures component compatibility, interaction possibility, and reuse.

中文翻译：

---

用于生成自适应决策支持系统的模型，算法和体系结构

摘要

本文研究了一种生成自适应决策支持系统的方法。提出了模型，算法和编程技术，这些模型，算法和编程技术使得可以利用分布式专家的知识来使系统适应环境变化，从而延长其生命周期并提高决策过程的效率。给出了决策问题的主题域多分量自适应模型，以及模型的结构和信息自适应算法。还提出了联邦形式的自适应决策支持系统的开放架构。该体系结构是根据分布式仿真标准“高级体系结构”的概念开发的，可确保组件兼容性，交互可能性和重用性。