Intelligent models for predicting levels of client satisfaction

Presents the development of artificial neural network models for predicting client satisfaction levels arising from the performance of contractors, based on data from a UK wide questionnaire survey of clients. Important independent variables identified by the models indicate that long-term relations...

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Bibliographic Details
Main Authors: Robby Soetanto, David G. Proverbs
Format: Default Article
Published: 2004
Subjects:
Other built environment and design not elsewhere classified
Artificial neural network
Client satisfaction
Contractor performance
Performance assessment
Project coalition
Built Environment and Design not elsewhere classified
Online Access:https://hdl.handle.net/2134/16604
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