Fuzzy logic based model for prediction of building wall humidity level

This paper presents the viability of using fuzzy logic expert system for the prediction of building wall’s relative humidity. In comparison with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable supplements to classical hard com...

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Main Authors: Hossain, Altab, Nazir, M., Ramesh, Singh, Rahman, Mohammed Ataur, K., H. Wong
Format: Article
Language:English
Published: International Society of the Built Environment 2014
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Online Access:http://irep.iium.edu.my/25659/4/fuzzy_logic.pdf
http://irep.iium.edu.my/25659/
http://ibe.sagepub.com/content/early/2012/10/11/1420326X12462713.abstract
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spelling my.iium.irep.256592018-06-11T04:24:39Z http://irep.iium.edu.my/25659/ Fuzzy logic based model for prediction of building wall humidity level Hossain, Altab Nazir, M. Ramesh, Singh Rahman, Mohammed Ataur K., H. Wong TD169 Environmental protection This paper presents the viability of using fuzzy logic expert system for the prediction of building wall’s relative humidity. In comparison with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable supplements to classical hard computing techniques. The purpose of this work was to investigate the relationship between wall material composition and climate condition, as well as to evaluate the viability of using fuzzy logic expert system in predicting the building wall’s humidity level. The experimental data was taken at different time of the day for different material composition. A fuzzy logic expert system model based on Mamdani approach was subsequently developed to predict the building wall’s humidity level. Verification of the developed fuzzy logic model was carried out through various numerical error criteria. The study revealed that the developed fuzzy system was able to predict the humidity level in the wall material within high accuracy with relative error of less than the acceptable limits of 10% and a goodness of fit very close to unity. International Society of the Built Environment 2014-10-16 Article REM application/pdf en http://irep.iium.edu.my/25659/4/fuzzy_logic.pdf Hossain, Altab and Nazir, M. and Ramesh, Singh and Rahman, Mohammed Ataur and K., H. Wong (2014) Fuzzy logic based model for prediction of building wall humidity level. Indoor and Built Environment, 23 (4). pp. 565-573. ISSN 1423-0070 (In Press) http://ibe.sagepub.com/content/early/2012/10/11/1420326X12462713.abstract 10.1177/1420326X12462713
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TD169 Environmental protection
spellingShingle TD169 Environmental protection
Hossain, Altab
Nazir, M.
Ramesh, Singh
Rahman, Mohammed Ataur
K., H. Wong
Fuzzy logic based model for prediction of building wall humidity level
description This paper presents the viability of using fuzzy logic expert system for the prediction of building wall’s relative humidity. In comparison with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable supplements to classical hard computing techniques. The purpose of this work was to investigate the relationship between wall material composition and climate condition, as well as to evaluate the viability of using fuzzy logic expert system in predicting the building wall’s humidity level. The experimental data was taken at different time of the day for different material composition. A fuzzy logic expert system model based on Mamdani approach was subsequently developed to predict the building wall’s humidity level. Verification of the developed fuzzy logic model was carried out through various numerical error criteria. The study revealed that the developed fuzzy system was able to predict the humidity level in the wall material within high accuracy with relative error of less than the acceptable limits of 10% and a goodness of fit very close to unity.
format Article
author Hossain, Altab
Nazir, M.
Ramesh, Singh
Rahman, Mohammed Ataur
K., H. Wong
author_facet Hossain, Altab
Nazir, M.
Ramesh, Singh
Rahman, Mohammed Ataur
K., H. Wong
author_sort Hossain, Altab
title Fuzzy logic based model for prediction of building wall humidity level
title_short Fuzzy logic based model for prediction of building wall humidity level
title_full Fuzzy logic based model for prediction of building wall humidity level
title_fullStr Fuzzy logic based model for prediction of building wall humidity level
title_full_unstemmed Fuzzy logic based model for prediction of building wall humidity level
title_sort fuzzy logic based model for prediction of building wall humidity level
publisher International Society of the Built Environment
publishDate 2014
url http://irep.iium.edu.my/25659/4/fuzzy_logic.pdf
http://irep.iium.edu.my/25659/
http://ibe.sagepub.com/content/early/2012/10/11/1420326X12462713.abstract
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score 13.211869