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A fuzzy-based analytic approach to collaborative decision making for construction teams

Lookup NU author(s): Dr John Kamara


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Describes a study that exploits the potential of fuzzy systems in construction through the development of a decision support system which is capable of handling fuzziness in the collaborative decision-making process. The proposed system is intended to provide an objective and rational framework within which collaborative decisions can be made by virtual construction project teams. Given the often linguistic nature of the weightings ascribed by individual disciplines to decision criteria, the proposed system will utilise fuzzy systems theory to rank criteria and recommend an optimal decision alternative. Presents an example to illustrate how the proposed tool works.

Publication metadata

Author(s): Yang HM, Anumba CJ, Kamara JM, Carrillo PM

Publication type: Article

Publication status: Published

Journal: Logistics Information Management

Year: 2001

Volume: 14

Issue: 5/6

Pages: 344-354

ISSN (print): 0957-6053

ISSN (electronic): 1758-7409

Publisher: Emerald Group Publishing Ltd.


DOI: 10.1108/EUM0000000006246


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