A knowledge-based intelligent decision support system for national defense budget planning

W. Wen*, W. K. Wang, Chih-Hsuan Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)55-66
Number of pages12
JournalExpert Systems with Applications
Volume28
Issue number1
DOIs
StatePublished - 1 Jan 2005

Keywords

  • Forward reasoning
  • Intelligent decision support systems
  • Knowledge bases
  • Model bases
  • National defense budget planning

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