Modelling of palm oil production using fuzzy expert system

The production of crude palm oil and palm kernel is a complex problem due to the influence of processing variables and environmental factors. These processing variables influence the amount of crude palm oil and palm kernel losses during processing. Instead of mathematical model, fuzzy logic appro...

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Main Authors: ., Lily Amelia, Abdul Wahab, Dzuraidah, Hassan, Azmi
Format: Article
Language:English
Published: Elsevier 2009
Subjects:
Online Access:http://irep.iium.edu.my/37286/
http://irep.iium.edu.my/37286/1/1-s2.0-S0957417408009019-main.pdf
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author ., Lily Amelia
Abdul Wahab, Dzuraidah
Hassan, Azmi
author_facet ., Lily Amelia
Abdul Wahab, Dzuraidah
Hassan, Azmi
author_sort ., Lily Amelia
building IIUM Repository
collection Online Access
description The production of crude palm oil and palm kernel is a complex problem due to the influence of processing variables and environmental factors. These processing variables influence the amount of crude palm oil and palm kernel losses during processing. Instead of mathematical model, fuzzy logic approach provides a simpler and easier mechanism to describe the relationships between the processing variables and the amount of crude palm oil and palm kernel losses. In this study, four fuzzy expert system models were developed for each palm oil processing station. An approximation of centre of gravity method for defuzzification is also proposed to enable the development of the model using Microsoft�Excel. For comparison purpose, the models were also developed using MATLAB�. Results obtained from the Excel model are found to be very close to the results from MATLAB.
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institution International Islamic University Malaysia
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publishDate 2009
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spelling iium-372862014-07-11T00:37:06Z http://irep.iium.edu.my/37286/ Modelling of palm oil production using fuzzy expert system ., Lily Amelia Abdul Wahab, Dzuraidah Hassan, Azmi T55.4 Industrial engineering.Management engineering. TJ212 Control engineering The production of crude palm oil and palm kernel is a complex problem due to the influence of processing variables and environmental factors. These processing variables influence the amount of crude palm oil and palm kernel losses during processing. Instead of mathematical model, fuzzy logic approach provides a simpler and easier mechanism to describe the relationships between the processing variables and the amount of crude palm oil and palm kernel losses. In this study, four fuzzy expert system models were developed for each palm oil processing station. An approximation of centre of gravity method for defuzzification is also proposed to enable the development of the model using Microsoft�Excel. For comparison purpose, the models were also developed using MATLAB�. Results obtained from the Excel model are found to be very close to the results from MATLAB. Elsevier 2009-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37286/1/1-s2.0-S0957417408009019-main.pdf ., Lily Amelia and Abdul Wahab, Dzuraidah and Hassan, Azmi (2009) Modelling of palm oil production using fuzzy expert system. Expert Systems with Application, 36 (5). pp. 8735-8749. ISSN 0957-4174 http://www.sciencedirect.com/science/article/pii/S0957417408009019 10.1016/j.eswa.2008.12.012
spellingShingle T55.4 Industrial engineering.Management engineering.
TJ212 Control engineering
., Lily Amelia
Abdul Wahab, Dzuraidah
Hassan, Azmi
Modelling of palm oil production using fuzzy expert system
title Modelling of palm oil production using fuzzy expert system
title_full Modelling of palm oil production using fuzzy expert system
title_fullStr Modelling of palm oil production using fuzzy expert system
title_full_unstemmed Modelling of palm oil production using fuzzy expert system
title_short Modelling of palm oil production using fuzzy expert system
title_sort modelling of palm oil production using fuzzy expert system
topic T55.4 Industrial engineering.Management engineering.
TJ212 Control engineering
url http://irep.iium.edu.my/37286/
http://irep.iium.edu.my/37286/
http://irep.iium.edu.my/37286/
http://irep.iium.edu.my/37286/1/1-s2.0-S0957417408009019-main.pdf