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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Project Management
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Application of the graph theory and matrix methods to contractor ranking

Authors: Azita Saeedi; Maryam Darvish; Mehrdad Yasaei;

Application of the graph theory and matrix methods to contractor ranking

Abstract

Abstract The most important element in construction procurement is the contractor selection, which can result from contractor’s ranking. Contractor prequalification is essential in most construction projects, and the process has been performed by many different methods in practice. In most studies of contractor selection, selection criteria are assumed to be independent of each other. However, these criteria are likely to affect each other. The main purpose of this paper is to show how the graph theory and matrix methods may be served as a decision analysis tool for contractor selection–which is more suitable to be employed in this interdependent relationship framework. This method can be used as a decision support system by project owners in order to identify an eligible contractor to be awarded the contract.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
120
Top 10%
Top 10%
Top 10%
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