A hybrid knowledge and model approach for reviewer assignment
作者:
Highlights:
•
摘要
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 external reviewers to R&D project proposals. The approach can be applied to government funding agencies in China and other countries.
论文关键词:Decision support systems,Knowledge-based systems,R&D project selection,Assignment problem
论文评审过程:Available online 27 November 2006.
论文官网地址:https://doi.org/10.1016/j.eswa.2006.10.021