Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid

Residential household's water leakage seems to be a secondary problem although it has been reported to contribute greater water losses compared to losses from the service pipes. The use of sophisticated devices is very expensive to be implemented either by the service provider or by the consume...

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Main Authors:	Md Noh, Nor Aishah, Rasmani, Khairul Anwar, Mohd Rashid, Nur Rasyida
Format:	Research Reports
Language:	English
Published:	Research Management Institute (RMI) 2013
Subjects:	Fuzzy arithmetic Fuzzy logic
Online Access:	http://ir.uitm.edu.my/id/eprint/21722/ http://ir.uitm.edu.my/id/eprint/21722/1/LP_NOR%20AISHAH%20MD%20NOH%20RMI%2013_5.pdf

id	uitm-21722
recordtype	eprints
spelling	uitm-217222018-10-02T08:39:05Z http://ir.uitm.edu.my/id/eprint/21722/ Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid Md Noh, Nor Aishah Rasmani, Khairul Anwar Mohd Rashid, Nur Rasyida Fuzzy arithmetic Fuzzy logic Residential household's water leakage seems to be a secondary problem although it has been reported to contribute greater water losses compared to losses from the service pipes. The use of sophisticated devices is very expensive to be implemented either by the service provider or by the consumers. On the other hand, manual detection done by the service provider can be very time consuming and costly as the tasks should be carried out regularly. Obviously it is timely for new alternative approaches to tackle this issue. Additionally, although there are many mathematical approaches have been proposed, it can be observed that none of them is currently being implemented successfully to handle residential household's water leakage problems. Therefore this research looks into the potential use of fuzzy rule-based approaches from a new perspective where mathematical models generated using data related to water collected from the consumer consumption. The aim of this research is to predict residential households water leakage using models created based on training data with fuzzy rule-based and non-fuzzy rule-based algorithms available in WEKA Machine Learning Software (Witten and Frank, 2005). The outcome is the prediction on the existence of residential household water leakage. Data on consumer water demand will be collected through interviews (face to face). Comparison of prediction results are obtained from each classification algorithm in order to come up with the final conclusion on which property has water leakage problem. The outcomes of this research can be used for further research on searching the best method to predict residential household's water leakage. Additionally, it also can be used by water supplier company to conduct house visit to detect the existence of water leakages. Various fuzzy methodss have been investigated to overcome residential household's water leakage. Most of the researches done focused on the technical issues such as pipes diameter, water flow rate, pipes materials and so on, rather than on consumer water consumption and demand. Therefore, it is impossible to implement by customers since the data are difficult to be obtained. Additionally, most of the previous models are lack of practicality and very costly to be implemented either by the consumer or by the service provider. Hence, searching of the alternative approaches need to be done especially based on the perspective of consumer. Research Management Institute (RMI) 2013 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21722/1/LP_NOR%20AISHAH%20MD%20NOH%20RMI%2013_5.pdf Md Noh, Nor Aishah and Rasmani, Khairul Anwar and Mohd Rashid, Nur Rasyida (2013) Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid. [Research Reports] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Fuzzy arithmetic Fuzzy logic
spellingShingle	Fuzzy arithmetic Fuzzy logic Md Noh, Nor Aishah Rasmani, Khairul Anwar Mohd Rashid, Nur Rasyida Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid
description	Residential household's water leakage seems to be a secondary problem although it has been reported to contribute greater water losses compared to losses from the service pipes. The use of sophisticated devices is very expensive to be implemented either by the service provider or by the consumers. On the other hand, manual detection done by the service provider can be very time consuming and costly as the tasks should be carried out regularly. Obviously it is timely for new alternative approaches to tackle this issue. Additionally, although there are many mathematical approaches have been proposed, it can be observed that none of them is currently being implemented successfully to handle residential household's water leakage problems. Therefore this research looks into the potential use of fuzzy rule-based approaches from a new perspective where mathematical models generated using data related to water collected from the consumer consumption. The aim of this research is to predict residential households water leakage using models created based on training data with fuzzy rule-based and non-fuzzy rule-based algorithms available in WEKA Machine Learning Software (Witten and Frank, 2005). The outcome is the prediction on the existence of residential household water leakage. Data on consumer water demand will be collected through interviews (face to face). Comparison of prediction results are obtained from each classification algorithm in order to come up with the final conclusion on which property has water leakage problem. The outcomes of this research can be used for further research on searching the best method to predict residential household's water leakage. Additionally, it also can be used by water supplier company to conduct house visit to detect the existence of water leakages. Various fuzzy methodss have been investigated to overcome residential household's water leakage. Most of the researches done focused on the technical issues such as pipes diameter, water flow rate, pipes materials and so on, rather than on consumer water consumption and demand. Therefore, it is impossible to implement by customers since the data are difficult to be obtained. Additionally, most of the previous models are lack of practicality and very costly to be implemented either by the consumer or by the service provider. Hence, searching of the alternative approaches need to be done especially based on the perspective of consumer.
format	Research Reports
author	Md Noh, Nor Aishah Rasmani, Khairul Anwar Mohd Rashid, Nur Rasyida
author_facet	Md Noh, Nor Aishah Rasmani, Khairul Anwar Mohd Rashid, Nur Rasyida
author_sort	Md Noh, Nor Aishah
title	Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid
title_short	Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid
title_full	Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid
title_fullStr	Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid
title_full_unstemmed	Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid
title_sort	comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / nor aishah md noh, dr. khairul anwar rasmani and nur rasyida mohd rashid
publisher	Research Management Institute (RMI)
publishDate	2013
url	http://ir.uitm.edu.my/id/eprint/21722/ http://ir.uitm.edu.my/id/eprint/21722/1/LP_NOR%20AISHAH%20MD%20NOH%20RMI%2013_5.pdf
first_indexed	2023-09-18T23:07:11Z
last_indexed	2023-09-18T23:07:11Z
_version_	1777418560927170560

Comparison between fuzzy and non-fuzzy classification methods in the prediction of residential household water leakage / Nor Aishah Md Noh, Dr. Khairul Anwar Rasmani and Nur Rasyida Mohd Rashid

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