DocumentCode :
3184676
Title :
Peer review expert selection method research based on knowledge set theory
Author :
Li, Haifeng ; Chen, Ning
Author_Institution :
Sch. of Manage., Dalian Jiaotong Univ., Dalian, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
2248
Lastpage :
2251
Abstract :
Peer review expert selection is an important link of fund project review; it can not only improve the matching accuracy of domain experts and projects, but also improve the appraisal quality in fund project review. This paper mainly studies the peer review expert selection method in fund project review. With the actual experience of fund project management, based on the author´s knowledge set theory, paper analyzes deeply knowledge set representation of expert knowledge, improves the similarity calculation of expert and project knowledge, builds the peer review expert selection method, and gives the actual example.
Keywords :
decision making; expert systems; financial management; knowledge representation; project management; set theory; expert knowledge; fund project management; knowledge set representation; knowledge set theory; peer review expert selection method; Concrete; Correlation; Immune system; Knowledge engineering; Project management; Set theory; XML; fund project review; knowledge set; peer review expert selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6011167
Filename :
6011167
Link To Document :
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