Predicting productivity loss caused by change orders using the evolutionary fuzzy support vector machine inference model

Predicting productivity loss caused by change orders using the evolutionary fuzzy support vector machine inference model

Change orders in construction projects are very common and result in negative impacts on various project facets. The impact of change orders on labor productivity is particularly difficult to quantify. Traditional approaches are inadequate to calculate the complex input-output relationship necessary...

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Bibliographic Details
Main Authors: Min-Yuan Cheng, Dedy Kurniawan Wibowo, Doddy Prayogo, Andreas F. V. Roy
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2015-07-01
Series:Journal of Civil Engineering and Management
Subjects:
change orders
productivity loss
fuzzy logic
support vector machine
fast messy genetic algorithm
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/2691

Internet

http://journals.vgtu.lt/index.php/JCEM/article/view/2691

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