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Aggregation Procedure Based on Majority Principle for Collective Identification of Firm’s Crucial Knowledge

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Date
2010
Collection title
Communications in Computer and Information Science
Collection Id
112
Link to item file
http://eprints.port.ac.uk/id/eprint/13058
Dewey
Recherche opérationnelle
Sujet
Knowledge management; knowledge identification; DRSA; Aggregation procedure
DOI
http://dx.doi.org/10.1007/978-3-642-16324-1_38
Conference name
Organizational, Business, and Technological Aspects of the Knowledge Society Third World Summit on the Knowledge Society, WSKS 2010
Conference date
09-2010
Conference city
Corfou
Conference country
Grèce
Book title
Organizational, Business, and Technological Aspects of the Knowledge Society Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010, Proceedings, Part II
Author
Lytras, Miltiadis D.; Ordonez de Pablos, Patricia; Ziderman, Adrian; Roulstone, Alan; Maurer, Hermann; Imber, Jonathan B.
Publisher
Springer
Publisher city
Berlin
Year
2010
Pages number
539
ISBN
978-3-642-16323-4
Book URL
http://dx.doi.org/10.1007/978-3-642-16324-1
URI
https://basepub.dauphine.fr/handle/123456789/11811
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Saad, Inès
Chakhar, Salem
Type
Communication / Conférence
Item number of pages
346-352
Abstract (EN)
It is very important to identify, preserve, and transfer knowledge to those who need it within firm. However, the identification of knowledge and especially tacit knowledge is a complex process because knowledge cannot be measured quantitatively. In this paper we present an approach for inducing a set of collective decision rules representing a generalized description of the preferential information of a group of decision makers involved in a multicriteria classification problem to identify crucial knowledge to be capitalized.

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