Application of Fuzzy expert systems for construction labor productivity estimation

Sana Muqeem, Arazi Bin Idrus, Mohd Faris Khamidi, Keem Siah Yap, Muhammad Saqib

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
Pages506-511
Number of pages6
DOIs
Publication statusPublished - 31 Oct 2012
Event2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Kuala Lumpur, Malaysia
Duration: 12 Jun 201214 Jun 2012

Publication series

Name2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
Volume1

Other

Other2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012
CountryMalaysia
CityKuala Lumpur
Period12/06/1214/06/12

Fingerprint

Fuzzy Expert System
Expert systems
Productivity
Personnel
Mean square error
Questionnaire
Roots
Numerical Accuracy
Construction industry
Linguistics
Industry
Estimate

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Theoretical Computer Science

Cite this

Muqeem, S., Bin Idrus, A., Khamidi, M. F., Yap, K. S., & Saqib, M. (2012). Application of Fuzzy expert systems for construction labor productivity estimation. In 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings (pp. 506-511). [6297298] (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings; Vol. 1). https://doi.org/10.1109/ICCISci.2012.6297298
Muqeem, Sana ; Bin Idrus, Arazi ; Khamidi, Mohd Faris ; Yap, Keem Siah ; Saqib, Muhammad. / Application of Fuzzy expert systems for construction labor productivity estimation. 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. 2012. pp. 506-511 (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings).
@inproceedings{49ccc7e800d94d8f89f524e61960820e,
title = "Application of Fuzzy expert systems for construction labor productivity estimation",
abstract = "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.",
author = "Sana Muqeem and {Bin Idrus}, Arazi and Khamidi, {Mohd Faris} and Yap, {Keem Siah} and Muhammad Saqib",
year = "2012",
month = "10",
day = "31",
doi = "10.1109/ICCISci.2012.6297298",
language = "English",
isbn = "9781467319386",
series = "2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings",
pages = "506--511",
booktitle = "2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings",

}

Muqeem, S, Bin Idrus, A, Khamidi, MF, Yap, KS & Saqib, M 2012, Application of Fuzzy expert systems for construction labor productivity estimation. in 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings., 6297298, 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings, vol. 1, pp. 506-511, 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012, Kuala Lumpur, Malaysia, 12/06/12. https://doi.org/10.1109/ICCISci.2012.6297298

Application of Fuzzy expert systems for construction labor productivity estimation. / Muqeem, Sana; Bin Idrus, Arazi; Khamidi, Mohd Faris; Yap, Keem Siah; Saqib, Muhammad.

2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. 2012. p. 506-511 6297298 (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Application of Fuzzy expert systems for construction labor productivity estimation

AU - Muqeem, Sana

AU - Bin Idrus, Arazi

AU - Khamidi, Mohd Faris

AU - Yap, Keem Siah

AU - Saqib, Muhammad

PY - 2012/10/31

Y1 - 2012/10/31

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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84867916944&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867916944&partnerID=8YFLogxK

U2 - 10.1109/ICCISci.2012.6297298

DO - 10.1109/ICCISci.2012.6297298

M3 - Conference contribution

SN - 9781467319386

T3 - 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings

SP - 506

EP - 511

BT - 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings

ER -

Muqeem S, Bin Idrus A, Khamidi MF, Yap KS, Saqib M. Application of Fuzzy expert systems for construction labor productivity estimation. In 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. 2012. p. 506-511. 6297298. (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings). https://doi.org/10.1109/ICCISci.2012.6297298