Publication:
Application of Fuzzy expert systems for construction labor productivity estimation

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dc.citedby1
dc.contributor.authorMuqeem S.en_US
dc.contributor.authorBin Idrus A.en_US
dc.contributor.authorKhamidi M.F.en_US
dc.contributor.authorSiah Y.K.en_US
dc.contributor.authorSaqib M.en_US
dc.contributor.authorid42561828800en_US
dc.contributor.authorid26532953200en_US
dc.contributor.authorid27567869500en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid55620498500en_US
dc.date.accessioned2023-12-29T07:46:33Z
dc.date.available2023-12-29T07:46:33Z
dc.date.issued2012
dc.description.abstractFuzzy 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6297298
dc.identifier.doi10.1109/ICCISci.2012.6297298
dc.identifier.epage511
dc.identifier.scopus2-s2.0-84867916944
dc.identifier.spage506
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84867916944&doi=10.1109%2fICCISci.2012.6297298&partnerID=40&md5=4dd790e7c49777c2cb21e1d4b5b15258
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30309
dc.identifier.volume1
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
dc.subjectArtificial Intelligence
dc.subjectFuzzy Expert Systems
dc.subjectInfluencing Factors
dc.subjectProduction rates
dc.subjectArtificial intelligence
dc.subjectConstruction industry
dc.subjectInformation science
dc.subjectMean square error
dc.subjectProductivity
dc.subjectSurveys
dc.subjectTechnology
dc.subjectComplex problems
dc.subjectFuzzy expert systems
dc.subjectInfluencing factor
dc.subjectInfluential factors
dc.subjectLabor productivity
dc.subjectNumerical accuracy
dc.subjectProduction rates
dc.subjectProductivity estimation
dc.subjectQuantitative factors
dc.subjectQuestionnaire surveys
dc.subjectRoot mean square errors
dc.subjectExpert systems
dc.titleApplication of Fuzzy expert systems for construction labor productivity estimationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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