A Hybrid Knowledge and Model Approach for Reviewer Assignment
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 40th Annual Hawaii International Conference on System Sciences |
| Editors | Ralph H. Sprague, Jr. |
| Publication status | Published - Jan 2007 |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 1530-1605 |
Conference
| Title | 40th Annual Hawaii International Conference on System Sciences 2007 (HICSS'07) |
|---|---|
| Location | Hilton Waikoloa Village |
| Place | United States |
| City | Big Island |
| Period | 3 - 6 January 2007 |
Link(s)
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.
Citation Format(s)
A Hybrid Knowledge and Model Approach for Reviewer Assignment. / Sun, Yong-Hong; Ma, Jian; Fan, Zhi-Ping et al.
Proceedings of the 40th Annual Hawaii International Conference on System Sciences. ed. / Ralph H. Sprague, Jr. 2007. 4076467.
Proceedings of the 40th Annual Hawaii International Conference on System Sciences. ed. / Ralph H. Sprague, Jr. 2007. 4076467.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
