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Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model

The simulation tools geared towards promoting sustainability in Mobility as a Service (MaaS) evaluation is inherently a multi-criteria decision-making (MCDM) challenge due to three primary concerns: the criteria significance, data variability, and the expert opinions' uncertainty. Despite effor...

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Main Authors:	Ibrahim H.A., Qahtan S., Zaidan A.A., Deveci M., Hajiaghaei-Keshteli M., Mohammed R.T., Alamoodi A.H.
Other Authors:	58834376800
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Autonomous vehicles Decision making Rough set theory Smart city Autonomous Vehicles Evaluation criteria Fuzzy-rough sets Interval-valued Interval-valued fermatean fuzzy rough set Mobility Multi criteria decision-making Multicriteria decision-making Multicriterion decision makings Rough-set based Sustainable development
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spelling	my.uniten.dspace-366982025-03-03T15:44:00Z Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model Ibrahim H.A. Qahtan S. Zaidan A.A. Deveci M. Hajiaghaei-Keshteli M. Mohammed R.T. Alamoodi A.H. 58834376800 57223984929 58789685700 55734383000 36008663700 57188662704 57205435311 Autonomous vehicles Decision making Rough set theory Smart city Autonomous Vehicles Evaluation criteria Fuzzy-rough sets Interval-valued Interval-valued fermatean fuzzy rough set Mobility Multi criteria decision-making Multicriteria decision-making Multicriterion decision makings Rough-set based Sustainable development The simulation tools geared towards promoting sustainability in Mobility as a Service (MaaS) evaluation is inherently a multi-criteria decision-making (MCDM) challenge due to three primary concerns: the criteria significance, data variability, and the expert opinions' uncertainty. Despite efforts in recent years, no current developed MaaS has fully addressed all evaluation criteria. Moreover, no research has evaluated the sustainability of MaaS in the context of determining its optimality. As such, this research's pivotal contribution is to present an evaluation of simulation tools for sustainable MaaS in autonomous vehicles operating in smart cities. This evaluation leans on the advanced extension of a newly proposed an interval-valued Fermatean fuzzy rough set (IVFFRS) incorporated within integrated MCDM methodologies. The IVFFRS is designed to capture intricate and uncertain evaluative data. The initial phase of the evaluation methodology involves formulating the evaluation criteria using an interval-valued Fermatean fuzzy rough set, fuzzily weighted for zero inconsistency. The subsequent phase adopts the interval-valued Fermatean fuzzy rough decision via the opinion score method to prioritize alternatives in light of data variations. This study evaluates ten distinct simulation tools for MaaS in autonomous vehicles based on seven criteria. The methodology's robustness is further ascertained through sensitivity and comparative analyses. ? 2023 The Authors Final 2025-03-03T07:44:00Z 2025-03-03T07:44:00Z 2024 Article 10.1016/j.engappai.2023.107609 2-s2.0-85178666132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178666132&doi=10.1016%2fj.engappai.2023.107609&partnerID=40&md5=2b213e79c132fc44955cc26d9ebc8a10 https://irepository.uniten.edu.my/handle/123456789/36698 129 107609 All Open Access; Hybrid Gold Open Access Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Autonomous vehicles Decision making Rough set theory Smart city Autonomous Vehicles Evaluation criteria Fuzzy-rough sets Interval-valued Interval-valued fermatean fuzzy rough set Mobility Multi criteria decision-making Multicriteria decision-making Multicriterion decision makings Rough-set based Sustainable development
spellingShingle	Autonomous vehicles Decision making Rough set theory Smart city Autonomous Vehicles Evaluation criteria Fuzzy-rough sets Interval-valued Interval-valued fermatean fuzzy rough set Mobility Multi criteria decision-making Multicriteria decision-making Multicriterion decision makings Rough-set based Sustainable development Ibrahim H.A. Qahtan S. Zaidan A.A. Deveci M. Hajiaghaei-Keshteli M. Mohammed R.T. Alamoodi A.H. Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
description	The simulation tools geared towards promoting sustainability in Mobility as a Service (MaaS) evaluation is inherently a multi-criteria decision-making (MCDM) challenge due to three primary concerns: the criteria significance, data variability, and the expert opinions' uncertainty. Despite efforts in recent years, no current developed MaaS has fully addressed all evaluation criteria. Moreover, no research has evaluated the sustainability of MaaS in the context of determining its optimality. As such, this research's pivotal contribution is to present an evaluation of simulation tools for sustainable MaaS in autonomous vehicles operating in smart cities. This evaluation leans on the advanced extension of a newly proposed an interval-valued Fermatean fuzzy rough set (IVFFRS) incorporated within integrated MCDM methodologies. The IVFFRS is designed to capture intricate and uncertain evaluative data. The initial phase of the evaluation methodology involves formulating the evaluation criteria using an interval-valued Fermatean fuzzy rough set, fuzzily weighted for zero inconsistency. The subsequent phase adopts the interval-valued Fermatean fuzzy rough decision via the opinion score method to prioritize alternatives in light of data variations. This study evaluates ten distinct simulation tools for MaaS in autonomous vehicles based on seven criteria. The methodology's robustness is further ascertained through sensitivity and comparative analyses. ? 2023 The Authors
author2	58834376800
author_facet	58834376800 Ibrahim H.A. Qahtan S. Zaidan A.A. Deveci M. Hajiaghaei-Keshteli M. Mohammed R.T. Alamoodi A.H.
format	Article
author	Ibrahim H.A. Qahtan S. Zaidan A.A. Deveci M. Hajiaghaei-Keshteli M. Mohammed R.T. Alamoodi A.H.
author_sort	Ibrahim H.A.
title	Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
title_short	Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
title_full	Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
title_fullStr	Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
title_full_unstemmed	Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
title_sort	sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816070973292544
score	13.244109

Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model

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