Please use this identifier to cite or link to this item:
|Title:||Using fuzzy neural network approach to estimate contractors' markup|
|Keywords:||Artificial neural network|
Fuzzy neural network
|Source:||Liu, M., Ling, Y.Y. (2003). Using fuzzy neural network approach to estimate contractors' markup. Building and Environment 38 (11) : 1303-1308. ScholarBank@NUS Repository. https://doi.org/10.1016/S0360-1323(03)00135-5|
|Abstract:||This paper presents a decision aid to assist contractors to estimate markup percentage to be included in their tenders, based on the Fuzzy neural network (FNN) approach. With the fuzzy logic inference system integrated inside, the FNN model provides users with a clear explanation to justify the rationality of the estimated markup output. Meanwhile, as every output of the FNN model is produced through the fuzzy inference rules, the results from the FNN model are in a reasonable and acceptable scale. By using this model, the difficulties in markup estimation due to its heuristic nature can be overcome. © 2003 Elsevier Ltd. All rights reserved.|
|Source Title:||Building and Environment|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
WEB OF SCIENCETM
checked on Nov 16, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.