Estimation of Production rates for Formwork Installation using Fuzzy Expert Systems

Estimation of Production rates for Formwork Installation using Fuzzy Expert Systems

Article ID

JN263

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Estimation of Production rates for Formwork Installation using Fuzzy Expert Systems

Arazi Bin Idrus

Sana Muqeem Universiti Teknologi PETRONAS

Yap Keem

Mohd Faris Khamidi

Mohd Saiful Zakaria

DOI

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Abstract

Expert Systems have been used to solve complex problems efficiently if the information available is in descriptive form rather than numbers. The study has aimed to use Fuzzy expert systems to estimate the labor production rates. Production rate values of formwork installation of beam have been measured from the project sites and factors influencing the production rates have been recorded on scale in descriptive form. Fuzzy expert system developed in this study has been compared with the previous Fuzzy expert systems used for estimating production rates. Mean Square Error of the previous and new models has been calculated and shows that proposed model gives high linguistic and numerical accuracies. Hence, the Fuzzy expert system developed in this study can be used reliably for estimating labor productivity by the construction Industry.

Estimation of Production rates for Formwork Installation using Fuzzy Expert Systems

Authors

Arazi Bin Idrus

Sana Muqeem Universiti Teknologi PETRONAS

Yap Keem

Mohd Faris Khamidi

Mohd Saiful Zakaria

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How to Cite

Sana Muqeem. 2012. “. Global Journal of Research in Engineering – E: Civil & Structural GJRE-E Volume 12 (GJRE Volume 12 Issue E1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

GJRE Volume 12 Issue E1
Pg. 1- 4

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Submission Received June 11, 2012
Accepted July 5, 2012
Published July 15, 2012

Keywords

Artificial intelligence Fuzzy Expert Systems Influencing Factors Production Rates

Article Matrices

Total Score: 105

Country: Malaysia

Subject: Global Journal of Research in Engineering - E: Civil & Structural

Authors: ,Arazi Bin Idrus, Sana Muqeem, Yap Keem, Mohd Faris Khamidi, Mohd Saiful Zakaria (PhD/Dr. count: 0)

View Count (all-time): 182

Total Views (Real + Logic): 5462

Total Downloads (simulated): 2701

Publish Date: 2012 01, Mon

Monthly Totals (Real + Logic):

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Total Views: 5462

Total Downloads: 2701

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