DocumentCode
3187207
Title
A study of fuzzy comprehensive evaluation of virtual R & D team member selection
Author
Cao, Yuekun ; He, Miao
Author_Institution
Sch. of Mech. & Power Eng., Henan Polytech. Univ., Jiaozuo, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
2737
Lastpage
2739
Abstract
The team member selection of a virtual R & D team is critical to success. This paper presents a selection method of virtual R & D team member based on fuzzy comprehensive evaluation, which first establishes an evaluation index system of virtual R & D team members and then uses the fuzzy comprehensive evaluation method to establish the selection decision model, and finally proves the effectiveness and feasibility of the model through case study.
Keywords
fuzzy set theory; research and development; team working; R&D organization; R&D team member selection method; evaluation index system; fuzzy comprehensive evaluation; selection decision model; virtual R&D team member selection; Cities and towns; Cultural differences; Indexes; Mathematics; Organizations; Power engineering; Virtual groups; fuzzy comprehensive evaluation; member selection; virtual R&D team;
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.2011.6011297
Filename
6011297
Link To Document