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Knowledge Management in Organizations - A Bibliometric Analysis of Research Trends Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Performance Measurement of Knowledge Resources Using Fuzzy Logic

Authors : Cheng Sheng Lee, Kuan Yew Wong

Published in: Knowledge Management in Organizations

Publisher: Springer International Publishing

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Abstract

Evaluating the performance of knowledge resources is not a simple task as it involves many aspects, some of which are bounded by uncertainties and indistinctness. These make it hard to judge or quantify knowledge resources numerically for measurement purposes. Furthermore, data collection for performance measurement seems to be another difficulty faced by many organizations. This paper proposed to measure the performance of knowledge resources using fuzzy logic to cope with the shortcomings of normal measurement methods. The feasibility of using fuzzy logic as an evaluation method was shown with a five-step guideline and an example computed using MATLAB version R2013a.

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previous chapter Modelling Knowledge Management Processes Using Fuzzy Cognitive Maps
next chapter Assessing the Effect of Knowledge Management Initiatives on Stakeholder Objectives Using Fuzzy TOPSIS
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Metadata
Title
Performance Measurement of Knowledge Resources Using Fuzzy Logic
Authors
Cheng Sheng Lee
Kuan Yew Wong
Copyright Year
2015
Book
Knowledge Management in Organizations

Print ISBN: 978-3-319-21008-7

Electronic ISBN: 978-3-319-21009-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-21009-4_5

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