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
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;
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
DOI :
10.1109/AIMSEC.2011.6011297
