TY  - CONF
AV  - none
CY  - Kuala Lumpur
TI  - Application of Fuzzy expert systems for construction labor productivity estimation
SP  - 506
ID  - scholars2790
KW  - Complex problems; Fuzzy expert systems; Influencing factor; Influential factors; Labor productivity; Numerical accuracy; Production rates; Productivity estimation; Quantitative factors; Questionnaire surveys; Root mean square errors
KW  -  Artificial intelligence; Construction industry; Information science; Mean square error; Productivity; Surveys; Technology
KW  -  Expert systems
N2  - Fuzzy Expert Systems have been used to solve complex problems efficiently in the case where information available is in descriptive form rather than quantitative number. This study has aimed to use Fuzzy expert systems to estimate the labor production rates through incorporating the influence of qualitative and quantitative factor. Production rate values of concreting of columns and their influential factors have been collected from questionnaire survey. Overall ten influential factors of qualitative and quantitative nature are selected for collecting the data during questionnaire survey based on the Likert scale of 1 to 5. Fuzzy expert system developed in this study has been compared with the two previously used Fuzzy expert systems for productivity estimation. Performance of the previous systems and system developed in this study has been compared by calculating Root Mean Square Error. The findings revealed that system developed in the study gives high linguistic and numerical accuracies as compare to the previous systems with least Root Mean Square Error. Hence, the developed Fuzzy expert system can be used reliably for estimating labor productivity by the construction Industry. © 2012 IEEE.
N1  - cited By 1; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
SN  - 9781467319386
Y1  - 2012///
EP  - 511
VL  - 1
A1  - Muqeem, S.
A1  - Bin Idrus, A.
A1  - Khamidi, M.F.
A1  - Siah, Y.K.
A1  - Saqib, M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867916944&doi=10.1109%2fICCISci.2012.6297298&partnerID=40&md5=4dd790e7c49777c2cb21e1d4b5b15258
ER  -