Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2013.817.822FuSha ZhouHangjun SongDan XiaoYezhi 42013124According to the incomplete and fuzziness performance evaluation
information, the performance evaluation of scientific innovation team in universities
was studied based on the gray fuzzy theory, a more comprehensive set of indicator
system was built to conduct a comprehensive evaluation. Based on gray system
theory and fuzzy set theory, the membership and the gray-scale was introduced
into the evaluating process, a gray fuzzy comprehensive evaluation model of
scientific innovation team in universities was built, the feasibility and effectiveness
of the model was proved through application.]]>Maolin, Z. and D. Zefang,201128151155Xiaohong, W. and Z. Baosheng,201128126131Wang, W.,201148385Qiu, K.,2012305962Guo, X. and W. Zhiping,2012306365Xiaozhuo, W. and W. Junmin,20088102108Bu, L.H. and D.Z. Cai,200810113118Weiming, Z. and Z. Xiaoxia,200926187190Ju-Long, D.,20052nd Edn.,Zheng-Jun, H., L. Gang-Fu and Z. Da-Shui,20072856105612Kang, X.D., Q. Wang and D.M. Guo,20052232236Zhu, Y.Y., Z.Q. Ma and Y.Q. Chen,200912431433Wen, C. and Z. Qiang,200721148154Shao, R.J. and B. Hu,20084131133,136Zhang, Z. and Z.X. Feng,20126182185Guan, J. and C.Y. Hu,200412224Chuandong, Z.,2008108791