Title :
A Hybrid Knowledge and Model Approach for Reviewer Assignment
Author :
Sun, Yong-hong ; Ma, Jian ; Fan, Zhi-ping ; Wang, Jun
Author_Institution :
Dept. of Inf. Syst., City Univ. of Hong Kong, Kowloon
Abstract :
In R&D project selection, experts (or external reviewers) always play a very important role because their opinions will have great influence on the outcome of the project selection. It is also undoubted that experts with high expertise level will make useful and professional judgments on the projects to be selected. So, how to assign the most appropriate experts to the relevant proposals is a very significant issue. This paper presents a hybrid knowledge and model approach which integrates mathematical decision models with knowledge rules, for the assignment of experts to review of R&D project proposals. The approach can be applied to government funding agencies in China and other countries
Keywords :
business data processing; decision theory; knowledge acquisition; project management; research and development management; R&D project selection; government funding agency; knowledge rule; mathematical decision model; project reviewer assignment; Conference management; Government; Knowledge management; Management information systems; Mathematical model; Power system modeling; Project management; Proposals; Research and development; Research and development management;
Conference_Titel :
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2007.17