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Selecting the optimal project delivery system: a rough-AHP decision aid

Selecting the optimal project delivery system: a rough-AHP decision aid

Mafakheri, Fereshteh, Dai, Liming, Slezak, Dominik and Nasiri, Fuzhan (2005) Selecting the optimal project delivery system: a rough-AHP decision aid. In: International workshop on Rough Sets and Soft Computing in Intelligent Agent and Web Technologies, 19 September 2005, Compiegne, France.

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In project management, owners seek to choose an appropriate project delivery method, as it is a key project success factor: In this study, a hybrid model using the Analytical Hierarchy Process (AHP) and Rough Sets Theory (RST) is developed to select the most appropriate project delivery method. The factors affecting this selection are determined from a number of benchmarks. With the application of rough sets theory and the development of a new definition for interval indiscernibility relation these factors are reduced to a set of decision criteria in order to form a hierarchical decision-making structure. Employing the rough approximations of the AHP model established, the uncertainties caused by the imprecise data involved in the project delivery method selection could be efficiently managed. An optimization procedure is performed via obtaining upper and lower linear programming models to determine interval priorities for ranking the alternative project delivery systems. The applicability and usefulness of this method will be demonstrated in a real world case study.

Item Type: Conference or Conference Paper (Paper)
Uncontrolled Keywords: rough sets, project delivery systems, AHP
Subjects: H Social Sciences > HD Industries. Land use. Labor
Faculty / Department / Research Group: Faculty of Business > Department of Systems Management & Strategy
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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