A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali

Nowadays, being underweight during childhood is equally risky as being overweight. Underweight children lead to decrement in their academic performance, a social problem as well as challenging attitudes. Underweight people are likely to be less fit and active, which would also increase their cardiov...

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Main Authors: Moktar, Balkiah, Aziz, Nur Amalina, Mohd Razali, Muhamad Hasbullah
Format: Article
Language:en
Published: Universiti Teknologi MARA, Perlis 2018
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Online Access:https://ir.uitm.edu.my/id/eprint/68734/1/68734.pdf
https://ir.uitm.edu.my/id/eprint/68734/
https://crinn.conferencehunter.com/index.php/jcrinn
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author Moktar, Balkiah
Aziz, Nur Amalina
Mohd Razali, Muhamad Hasbullah
author_facet Moktar, Balkiah
Aziz, Nur Amalina
Mohd Razali, Muhamad Hasbullah
author_sort Moktar, Balkiah
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description Nowadays, being underweight during childhood is equally risky as being overweight. Underweight children lead to decrement in their academic performance, a social problem as well as challenging attitudes. Underweight people are likely to be less fit and active, which would also increase their cardiovascular risk and health problem. Their mind also becomes inflexible while their concentration and ability to decide are markedly weak. The purpose of this study is to evaluate the chances of having underweight among the children by using Fuzzy Logic (FL) Approach. Besides that, the comparison of effectiveness result of underweight between Body Mass Index (BMI) method and FL Approach using Mamdani method will be made. The data of weight and height of the children were collected from 3 kindergartens in Perlis. The result shows that 60 to 70 percent of children having an underweight in a range between 79.1% to 91.2% compare to the BMI method that is only 10 percent of children have underweight. It shows that Mamdani method was very effective compared to BMI Method because of the flexibility from the output control that is a smooth control function despite a wide range of input.
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institution Universiti Teknologi Mara
language en
publishDate 2018
publisher Universiti Teknologi MARA, Perlis
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spelling my.uitm.ir-687342023-01-09T04:35:59Z https://ir.uitm.edu.my/id/eprint/68734/ A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali jcrinn Moktar, Balkiah Aziz, Nur Amalina Mohd Razali, Muhamad Hasbullah Fuzzy logic Human physiology. Including general works on human biology Nowadays, being underweight during childhood is equally risky as being overweight. Underweight children lead to decrement in their academic performance, a social problem as well as challenging attitudes. Underweight people are likely to be less fit and active, which would also increase their cardiovascular risk and health problem. Their mind also becomes inflexible while their concentration and ability to decide are markedly weak. The purpose of this study is to evaluate the chances of having underweight among the children by using Fuzzy Logic (FL) Approach. Besides that, the comparison of effectiveness result of underweight between Body Mass Index (BMI) method and FL Approach using Mamdani method will be made. The data of weight and height of the children were collected from 3 kindergartens in Perlis. The result shows that 60 to 70 percent of children having an underweight in a range between 79.1% to 91.2% compare to the BMI method that is only 10 percent of children have underweight. It shows that Mamdani method was very effective compared to BMI Method because of the flexibility from the output control that is a smooth control function despite a wide range of input. Universiti Teknologi MARA, Perlis 2018 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/68734/1/68734.pdf A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali. (2018) Journal of Computing Research and Innovation (JCRINN) <https://ir.uitm.edu.my/view/publication/Journal_of_Computing_Research_and_Innovation_=28JCRINN=29/>, 3 (3): 6. pp. 36-45. ISSN 2600-8793 https://crinn.conferencehunter.com/index.php/jcrinn 10.24191/jcrinn.v3i3.76 10.24191/jcrinn.v3i3.76 10.24191/jcrinn.v3i3.76
spellingShingle Fuzzy logic
Human physiology. Including general works on human biology
Moktar, Balkiah
Aziz, Nur Amalina
Mohd Razali, Muhamad Hasbullah
A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali
title A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali
title_full A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali
title_fullStr A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali
title_full_unstemmed A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali
title_short A fuzzy logic approach to measure underweight among kindergarten's kids / Balkiah Moktar, Nur Amalina Aziz and Muhamad Hasbullah Mohd Razali
title_sort fuzzy logic approach to measure underweight among kindergarten's kids / balkiah moktar, nur amalina aziz and muhamad hasbullah mohd razali
topic Fuzzy logic
Human physiology. Including general works on human biology
url https://ir.uitm.edu.my/id/eprint/68734/1/68734.pdf
https://ir.uitm.edu.my/id/eprint/68734/
https://crinn.conferencehunter.com/index.php/jcrinn
url_provider http://ir.uitm.edu.my/