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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)265-271
Journal / PublicationExpert Systems with Applications
Volume23
Issue number3
Publication statusPublished - 1 Oct 2002

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). © 2002 Elsevier Science Ltd. All rights reserved.

Research Area(s)

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

Citation Format(s)

A hybrid knowledge and model system for R&D project selection. / Tian, Qijia; Ma, Jian; Liu, Ou.

In: Expert Systems with Applications, Vol. 23, No. 3, 01.10.2002, p. 265-271.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review