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