DocumentCode :
535829
Title :
Evaluation method for collaboration degree in knowledge collaboration team
Author :
Yu, Zhuchao ; Fan, Zhiping
Author_Institution :
Sch. of Bus. Adm., Northeastern Univ., Shenyang, China
Volume :
2
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
502
Lastpage :
505
Abstract :
Knowledge collaboration team is an important organization form for knowledge innovation. Its collaboration degree affects the performance of knowledge innovation seriously. This paper firstly explains the concepts and characteristics of knowledge collaboration and knowledge collaboration team, and gives definitions of collaboration relation matrix, collaboration degree matrix and collaboration relation weight matrix for knowledge collaboration team. Then, a method based on 2-tuple linguistic information processing is proposed to evaluate the total collaboration degree of knowledge collaboration team. According to the new 2-tuple linguistic concept, the method processes linguistic evaluation information using with aggregation operators. The obtained evaluation result has important reference value for improving the total collaboration degree of knowledge collaboration team.
Keywords :
innovation management; knowledge management; matrix algebra; 2-tuple linguistic information processing; aggregation operators; collaboration degree evaluation method; collaboration degree matrix; collaboration relation matrix; collaboration relation weight matrix; knowledge collaboration team; knowledge innovation; Artificial neural networks; Collaboration; 2-tuple linguistics; collaboration degree; evaluation method; knowledge collaboration team; social network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5654833
Filename :
5654833
Link To Document :
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