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Cost estimation model for building projects using case-based reasoning

Cited 30 time in Web of Science Cited 40 time in Scopus
Issue Date
2011-05
Publisher
CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS
Citation
CANADIAN JOURNAL OF CIVIL ENGINEERING; Vol.38, No.5, pp.570-581
Keywords
estimategenetic algorithmcostcase-based reasoning
Abstract
The case-based reasoning (CBR) method can be an effective means of utilizing knowledge gained from past experiences to estimate cost in construction. It has also been observed that CBR can enhance the accuracy of construction cost estimates. However, there are challenges related to the process of retrieving knowledge and information that still need to be addressed. One challenge is the computation of similarity and another is the assignment of the attribute weight values. To address these challenges, this paper develops a CBR cost estimate model for building projects using a Euclidean distance concept and genetic algorithms. Consequently, it was found that this model can enhance the accuracy of cost estimation and act as a basis for further research on the fundamentals of the case-based reasoning method.
ISSN
0315-1468
Language
English
URI
https://hdl.handle.net/10371/80902
DOI
https://doi.org/10.1139/L11-016
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Architecture and Architectural Engineering (건축학과)Journal Papers (저널논문_건축학과)
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