Evaluating knowledge management processes: a fuzzy logic approach
Knowledge management (KM) has been incorporated into our daily working routines and activities knowingly and/or unknowingly. Activities that have or involve the elements of KM are commonly known as KM processes, such as sharing of experience and knowledge among coworkers, innovation of products, doc...
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Newswood Limited
2016
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my.utm.736092017-11-28T05:01:13Z http://eprints.utm.my/id/eprint/73609/ Evaluating knowledge management processes: a fuzzy logic approach Lee, C. S. Wong, K. Y. HD Industries. Land use. Labor Knowledge management (KM) has been incorporated into our daily working routines and activities knowingly and/or unknowingly. Activities that have or involve the elements of KM are commonly known as KM processes, such as sharing of experience and knowledge among coworkers, innovation of products, documentation of projects and so on. To keep track and improve a company's KM processes, they need to be evaluated from time to time. This paper intends to propose a simple method that can cope with the subjectivity and vagueness issues faced during the evaluation process by using fuzzy logic computed with the MATLAB software. Newswood Limited 2016 Conference or Workshop Item PeerReviewed Lee, C. S. and Wong, K. Y. (2016) Evaluating knowledge management processes: a fuzzy logic approach. In: International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016, 16-18 March 2016, Kowloon, Hong Kong. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978643590&partnerID=40&md5=6c67bcea515ac4c85ccc32d194687b31 |
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HD Industries. Land use. Labor Lee, C. S. Wong, K. Y. Evaluating knowledge management processes: a fuzzy logic approach |
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Knowledge management (KM) has been incorporated into our daily working routines and activities knowingly and/or unknowingly. Activities that have or involve the elements of KM are commonly known as KM processes, such as sharing of experience and knowledge among coworkers, innovation of products, documentation of projects and so on. To keep track and improve a company's KM processes, they need to be evaluated from time to time. This paper intends to propose a simple method that can cope with the subjectivity and vagueness issues faced during the evaluation process by using fuzzy logic computed with the MATLAB software. |
format |
Conference or Workshop Item |
author |
Lee, C. S. Wong, K. Y. |
author_facet |
Lee, C. S. Wong, K. Y. |
author_sort |
Lee, C. S. |
title |
Evaluating knowledge management processes: a fuzzy logic approach |
title_short |
Evaluating knowledge management processes: a fuzzy logic approach |
title_full |
Evaluating knowledge management processes: a fuzzy logic approach |
title_fullStr |
Evaluating knowledge management processes: a fuzzy logic approach |
title_full_unstemmed |
Evaluating knowledge management processes: a fuzzy logic approach |
title_sort |
evaluating knowledge management processes: a fuzzy logic approach |
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Newswood Limited |
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2016 |
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http://eprints.utm.my/id/eprint/73609/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978643590&partnerID=40&md5=6c67bcea515ac4c85ccc32d194687b31 |
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1643656697342853120 |
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13.154949 |