DocumentCode :
2745454
Title :
Study of Ensemble Model for Knowledge Management
Author :
Yonghui, Cao
Author_Institution :
Sch. of Econ. & Manage., Henan Inst. of Sci. & Technol., Xinxiang, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
33
Lastpage :
36
Abstract :
While general management is concerned with physical and human resources, knowledge management (KM) refers to the allocation of knowledge assets as a means to improve organizational processes. KM approaches include the resources, methods, and instruments to deliver KM goals. KM goals are usually described in terms of knowledge assets. Due to the nature of knowledge assets, organizational processes tend to improve as knowledge assets are shared and leveraged among organizational members. At the same time, knowledge of people is subjective, ambiguous, and vague in addition to circumstantial. To deal with these properties, in this paper, we are developing the ensemble modeling technique, which provides the tendency of people´s opinions and at the same time their diversity. Finally, we also draw conclusions.
Keywords :
knowledge management; organisational aspects; ensemble modeling technique; knowledge assets; knowledge management; organizational processes; Artificial intelligence; Context modeling; Cultural differences; Data analysis; Fuzzy logic; Humans; Information science; Information technology; Knowledge management; Mathematical model; fuzzy linear regression; knowledge management; mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3661-3
Type :
conf
DOI :
10.1109/ECBI.2009.126
Filename :
5189479
Link To Document :
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