A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS

A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS

Large Indonesians are engaged in the agrarian sector, so the character of a climate and weather such as rainfall greatly affects the sustainability of its income. Climatic and weather factors are used for agricultural considerations, especially in determining the suitability of crop species to be cu...

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Main Authors: Nasir, Januardi, Ramli, Azizul Azhar
Other Authors: Ibrahim, Rosziati
Format: Book Section
Language:English
Published: Penerbit UTHM 2017
Subjects:
T58.5-58.64 Information technology
TA190-194 Management of engineering works
Online Access:http://eprints.uthm.edu.my/4347/1/Chapter%203_DEISS_S1.pdf
http://eprints.uthm.edu.my/4347/
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English
id my.uthm.eprints.4347
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spelling my.uthm.eprints.43472022-01-16T00:49:36Z http://eprints.uthm.edu.my/4347/ A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS Nasir, Januardi Ramli, Azizul Azhar T58.5-58.64 Information technology TA190-194 Management of engineering works Large Indonesians are engaged in the agrarian sector, so the character of a climate and weather such as rainfall greatly affects the sustainability of its income. Climatic and weather factors are used for agricultural considerations, especially in determining the suitability of crop species to be cultivated somewhere. But the conditions of the weather often change, because the definition of weather itself covers a narrow area and at a short time, so every time will change. Penerbit UTHM Ibrahim, Rosziati Jamel, Sapi'ee 2017 Book Section PeerReviewed text en http://eprints.uthm.edu.my/4347/1/Chapter%203_DEISS_S1.pdf Nasir, Januardi and Ramli, Azizul Azhar (2017) A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS. In: Research Book – Data Engineering and Information Security Series 1. Penerbit UTHM, Batu Pahat, Johor, pp. 19-26. ISBN 9789672110583
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T58.5-58.64 Information technology
TA190-194 Management of engineering works
spellingShingle T58.5-58.64 Information technology
TA190-194 Management of engineering works
Nasir, Januardi
Ramli, Azizul Azhar
A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS
description Large Indonesians are engaged in the agrarian sector, so the character of a climate and weather such as rainfall greatly affects the sustainability of its income. Climatic and weather factors are used for agricultural considerations, especially in determining the suitability of crop species to be cultivated somewhere. But the conditions of the weather often change, because the definition of weather itself covers a narrow area and at a short time, so every time will change.
author2 Ibrahim, Rosziati
author_facet Ibrahim, Rosziati
Nasir, Januardi
Ramli, Azizul Azhar
format Book Section
author Nasir, Januardi
Ramli, Azizul Azhar
author_sort Nasir, Januardi
title A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS
title_short A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS
title_full A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS
title_fullStr A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS
title_full_unstemmed A new hybrid evolutionary algorithm with MCDM for plant forecasting using FIS
title_sort new hybrid evolutionary algorithm with mcdm for plant forecasting using fis
publisher Penerbit UTHM
publishDate 2017
url http://eprints.uthm.edu.my/4347/1/Chapter%203_DEISS_S1.pdf
http://eprints.uthm.edu.my/4347/
_version_ 1738581239288299520

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