A knowledge-based intelligent decision support system for national defense budget planning
作者:
Highlights:
•
摘要
In this paper, we present a new framework for knowledge-based intelligent decision support systems for developing a national defense budget planning. The planning procedure for and architecture of the national defense budget in Taiwan are discussed in detail. In particular, the theories and techniques of intelligent decision support are used in the yearly practical budget planning process. Based on data in the financial database and knowledge in the knowledge base, we easily adjust the beforehand budget proposal. Furthermore, a knowledge-based intelligent decision support system has been implemented and it collects a series of rules extracted from national defense experts for successful reasoning. By using forward reasoning and knowledge rules, the system can automatically change and regenerate the national defense budget plan immediately. Finally, the empirical functions of the KIDSS system are also addressed.
论文关键词:National defense budget planning,Intelligent decision support systems,Knowledge bases,Model bases,Forward reasoning
论文评审过程:Available online 15 September 2004.
论文官网地址:https://doi.org/10.1016/j.eswa.2004.08.010