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Performance measurement of knowledge resources using fuzzy logic

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 perfor...

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Main Authors: Lee, C. S., Wong, K. Y.
Format: Article
Published: Springer Verlag 2015
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/58795/
http://www.dx.doi.org/10.1007/978-3-319-21009-4_5
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spelling my.utm.587952021-08-25T09:01:25Z http://eprints.utm.my/id/eprint/58795/ Performance measurement of knowledge resources using fuzzy logic Lee, C. S. Wong, K. Y. TA Engineering (General). Civil engineering (General) 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. Springer Verlag 2015 Article PeerReviewed Lee, C. S. and Wong, K. Y. (2015) Performance measurement of knowledge resources using fuzzy logic. Lecture Notes In Business Information Processing, 224 . pp. 51-59. ISSN 1865-1348 http://www.dx.doi.org/10.1007/978-3-319-21009-4_5 DOI: 10.1007/978-3-319-21009-4_5
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Lee, C. S.
Wong, K. Y.
Performance measurement of knowledge resources using fuzzy logic
description 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.
format Article
author Lee, C. S.
Wong, K. Y.
author_facet Lee, C. S.
Wong, K. Y.
author_sort Lee, C. S.
title Performance measurement of knowledge resources using fuzzy logic
title_short Performance measurement of knowledge resources using fuzzy logic
title_full Performance measurement of knowledge resources using fuzzy logic
title_fullStr Performance measurement of knowledge resources using fuzzy logic
title_full_unstemmed Performance measurement of knowledge resources using fuzzy logic
title_sort performance measurement of knowledge resources using fuzzy logic
publisher Springer Verlag
publishDate 2015
url http://eprints.utm.my/id/eprint/58795/
http://www.dx.doi.org/10.1007/978-3-319-21009-4_5
_version_ 1709667345675321344
score 13.211869

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