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

被引：42

作者：

Tian, QJ

Ma, J

Liu, O

机构：

[1] City Univ Hong Kong, Dept Informat Syst, Kowloon, Hong Kong, Peoples R China

[2] Shandong Univ Sci & Technol, Dept Comp Sci, Shandong, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2002年 / 23卷 / 03期

关键词：

decision support systems; knowledge-based systems; model management; R&D project selection;

D O I：

10.1016/S0957-4174(02)00046-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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). (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：265 / 271

页数：7

共 18 条

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