Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning

Sustainability is a concern that has been raised in many domains especially in institutions of higher learning such as universities. Hence, universities are implementing Green practices to promote sustainability. Similarly Green practice implementation in universities for attaining sustainability ha...

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Main Authors:	Anthony, Bokolo Jnr., Mazlina, Abdul Majid, Awanis, Romli
Format:	Article
Language:	English
Published:	Strojarski Facultet 2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/24910/ http://umpir.ump.edu.my/id/eprint/24910/ http://umpir.ump.edu.my/id/eprint/24910/ http://umpir.ump.edu.my/id/eprint/24910/1/Hybrid%20multi-agents%20and%20case%20based%20reasoning%20for%20aiding.pdf

id	ump-24910
recordtype	eprints
spelling	ump-249102019-10-14T04:02:45Z http://umpir.ump.edu.my/id/eprint/24910/ Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning Anthony, Bokolo Jnr. Mazlina, Abdul Majid Awanis, Romli QA76 Computer software Sustainability is a concern that has been raised in many domains especially in institutions of higher learning such as universities. Hence, universities are implementing Green practices to promote sustainability. Similarly Green practice implementation in universities for attaining sustainability has been the priority for most universities across the world, mainly in ensuring the effectiveness and efficiency of Information Technology (IT) related service. Over the years, a few approaches have been developed to facilitate Green practice in institutions of higher learning, however these approaches are not autonomous and do not provide adequate information on Green implementation initiatives. Moreover, institutions of higher learning utilize manual checklist assessment questionnaire to evaluate their current Green practice. Therefore, this study proposes a system model that integrates hybrid multi-agent and Case Based Reasoning (CBR). The CBR technique facilitates Green implementation by providing information on how institution of higher learning can adopt Green practices initiative, whereas software agents autonomously assess the current Green practice initiative implemented in institutions of higher learning. Findings from this paper show how the hybrid multi-agent and CBR aid universities implement Green practice for sustainability attainment in institutions of higher learning. Strojarski Facultet 2019-02 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24910/1/Hybrid%20multi-agents%20and%20case%20based%20reasoning%20for%20aiding.pdf Anthony, Bokolo Jnr. and Mazlina, Abdul Majid and Awanis, Romli (2019) Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning. Tehnicki Vjesnik, 26 (1). pp. 13-21. ISSN 1330-3651 https://doi.org/10.17559/TV-20170301074502 https://doi.org/10.17559/TV-20170301074502
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Anthony, Bokolo Jnr. Mazlina, Abdul Majid Awanis, Romli Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
description	Sustainability is a concern that has been raised in many domains especially in institutions of higher learning such as universities. Hence, universities are implementing Green practices to promote sustainability. Similarly Green practice implementation in universities for attaining sustainability has been the priority for most universities across the world, mainly in ensuring the effectiveness and efficiency of Information Technology (IT) related service. Over the years, a few approaches have been developed to facilitate Green practice in institutions of higher learning, however these approaches are not autonomous and do not provide adequate information on Green implementation initiatives. Moreover, institutions of higher learning utilize manual checklist assessment questionnaire to evaluate their current Green practice. Therefore, this study proposes a system model that integrates hybrid multi-agent and Case Based Reasoning (CBR). The CBR technique facilitates Green implementation by providing information on how institution of higher learning can adopt Green practices initiative, whereas software agents autonomously assess the current Green practice initiative implemented in institutions of higher learning. Findings from this paper show how the hybrid multi-agent and CBR aid universities implement Green practice for sustainability attainment in institutions of higher learning.
format	Article
author	Anthony, Bokolo Jnr. Mazlina, Abdul Majid Awanis, Romli
author_facet	Anthony, Bokolo Jnr. Mazlina, Abdul Majid Awanis, Romli
author_sort	Anthony, Bokolo Jnr.
title	Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
title_short	Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
title_full	Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
title_fullStr	Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
title_full_unstemmed	Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
title_sort	hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning
publisher	Strojarski Facultet
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24910/ http://umpir.ump.edu.my/id/eprint/24910/ http://umpir.ump.edu.my/id/eprint/24910/ http://umpir.ump.edu.my/id/eprint/24910/1/Hybrid%20multi-agents%20and%20case%20based%20reasoning%20for%20aiding.pdf
first_indexed	2023-09-18T22:37:57Z
last_indexed	2023-09-18T22:37:57Z
_version_	1777416722382323712

Hybrid multi-agents and case based reasoning for aiding green practice in institutions of higher learning

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