Fuzzy logic tools needed for intellectual capital management systems

Author

Hall, Nancy Green ; Stivers, Bonnie ; Covin, Teresa ; Smalt, Steve

Author_Institution

Coles Sch. of Bus., Kennesaw State Coll., GA, USA

fYear

1996

fDate

19-22 Jun 1996

Firstpage

327

Lastpage

330

Abstract

A recent survey reveals top Fortune 500 and Canadian Post 300 managers expect employee knowledge to be the most valuable intangible asset of their firm in the year 2000. Information systems can support knowledge management activities with knowledge management support systems (KMSSs). Because of the nature of knowledge itself, efforts to capture it in a corporate knowledge base will require the use of fuzzy and other approximate reasoning methodologies to extend the grasp of traditional computerized quantitative tools

Keywords

business data processing; fuzzy logic; industrial property; inference mechanisms; knowledge based systems; management information systems; personnel; uncertainty handling; approximate reasoning methodologies; computerized quantitative tools; corporate knowledge base; employee knowledge; fuzzy logic tools; information systems; intellectual capital management systems; knowledge capture; knowledge management support systems; Asset management; Companies; Computer industry; Educational institutions; Fuzzy logic; Fuzzy reasoning; Information systems; Knowledge management; Management information systems; Organizational aspects;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Conference_Location

Berkeley, CA

Print_ISBN

0-7803-3225-3

Type

conf

DOI

10.1109/NAFIPS.1996.534753

Filename

534753