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IFAC Proceedings Volumes
Article . 2006 . Peer-reviewed
License: Elsevier TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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https://dx.doi.org/10.3182/200...
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EVALUATE KNOWLEDGE MANAGEMENT TOOLS BY USING FUZZY LINEAR PROGRAMMING TECHNIQUE FOR MULTIATTRIBUTE GROUP DECISION MAKING*

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2006 Turkey English Publisher:Elsevier BVJournal:IFAC Proceedings Volumes, volume 39, pages 264-269 (issn: 1474-6670, Copyright policy )
Authors: Albayrak, Yıldız Esra; Erensal, Yasemin Claire;

doi: 10.3182/20060522-3-fr-2904.00042

handle: 11376/2097

EVALUATE KNOWLEDGE MANAGEMENT TOOLS BY USING FUZZY LINEAR PROGRAMMING TECHNIQUE FOR MULTIATTRIBUTE GROUP DECISION MAKING*

Abstract

Abstract The concept of knowledge management is a tried and tested management science that has been implemented by numerous organizations, some with more success than others. The aim of this paper is to develop a framework to aid in the evaluation and selection of KM tools. In this paper, we investigate the fuzzy linear programming technique (FLP) for multiple attribute group decision making (MAGDM) problems with preference information on alternatives.

Country
Turkey
Related Organizations
Keywords

Fuzzy Numbers, Multiple Attribute Group, Fuzzy Linear Programming, Linear Programming Technique for Multidimensional Analysis of Preference, Preference Information, Knowledge Management Tool, Linguistic Variable, Multi-Attribute Group Decision Making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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