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: Bokolo Anthony Jnr., Mazlina Abdul Majid, Awanis Romli
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2019-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/316816
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author Bokolo Anthony Jnr.
Mazlina Abdul Majid
Awanis Romli
author_facet Bokolo Anthony Jnr.
Mazlina Abdul Majid
Awanis Romli
author_sort Bokolo Anthony Jnr.
collection DOAJ
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.
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spelling doaj.art-baeebcc35f6640619d03f990a3af15aa2024-04-15T15:20:04ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392019-01-01261132110.17559/TV-20170301074502Hybrid Multi-Agents and Case Based Reasoning for Aiding Green Practice in Institutions of Higher LearningBokolo Anthony Jnr.0Mazlina Abdul Majid1Awanis Romli2Faculty of Computer Systems & Software Engineering (FSKKP), Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, MalaysiaFaculty of Computer Systems & Software Engineering (FSKKP), Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, MalaysiaFaculty of Computer Systems & Software Engineering (FSKKP), Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, MalaysiaSustainability 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.https://hrcak.srce.hr/file/316816Hybrid Multi-AgentsCase Based ReasoningSustainabilityGreen Practice ImplementationInstitutions of Higher Learning
spellingShingle Bokolo Anthony Jnr.
Mazlina Abdul Majid
Awanis Romli
Hybrid Multi-Agents and Case Based Reasoning for Aiding Green Practice in Institutions of Higher Learning
Tehnički Vjesnik
Hybrid Multi-Agents
Case Based Reasoning
Sustainability
Green Practice Implementation
Institutions of Higher Learning
title 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_short 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
topic Hybrid Multi-Agents
Case Based Reasoning
Sustainability
Green Practice Implementation
Institutions of Higher Learning
url https://hrcak.srce.hr/file/316816
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AT awanisromli hybridmultiagentsandcasebasedreasoningforaidinggreenpracticeininstitutionsofhigherlearning