A hybrid knowledge and model system for R&D project selection

Qijia Tian, Jian Ma*, Ou Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)

Abstract

Decision models and knowledge rules are widely used to assist in decision-making. They are common decision support devices that should be effectively managed in decision support systems. Research and development (R&D) project selection is a complicated and knowledge intensive decision-making process where decision models and knowledge rules play an important role. This paper presents a hybrid knowledge and model system, which integrates mathematical models with knowledge rules, for R&D project selection. The system is designed to support the whole decision process of R&D project selection and has been used in the selection of R&D projects in the National Natural Science Foundation of China (NSFC).

Original languageEnglish
Pages (from-to)265-271
Number of pages7
JournalExpert Systems with Applications
Volume23
Issue number3
DOIs
Publication statusPublished - 1 Oct 2002
Externally publishedYes

Keywords

  • Decision support systems
  • Knowledge-based systems
  • Model management
  • R&D project selection

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