Construction cost prediction on the basis of multiple parameters using case-based reasoning method Online publication date: Mon, 27-Nov-2017
by Ekbal Rashid
International Journal of Services Technology and Management (IJSTM), Vol. 23, No. 4, 2017
Abstract: Nowadays, case-based reasoning (CBR) can be viewed as an effective and efficient method for cost prediction for building construction. Even if users have not very much experienced all the cases of knowledge base or database, this method makes it possible to retrieve the information of similar or exact cases, which are known to them, for new experiences. However, there are challenges related to the rapid retrieval process from the database library. One of the most important retrieval processes is the computation of similarity measures. With these issues, this research work attempts to build CBR in terms of similarity measuring method based on the concept of Euclidean distance and Chebyshev distance. The novelty of this paper is enhancing the accuracy of cost prediction as well as checking the effectiveness of the CBR model and both are relevant to academia and industry. In order to obtain the result, I have used indigenous tool.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services Technology and Management (IJSTM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook