Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model

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dc.authoridYASAR, ILGIN/0000-0001-9896-9220
dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authorwosidYASAR, ILGIN/N-7044-2016
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorPamucar, Dragan
dc.contributor.authorGokasar, Ilgin
dc.contributor.authorZaidan, Bilal Bahaa
dc.contributor.authorMartinez, Luis
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:46:42Z
dc.date.available2024-05-19T14:46:42Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractCurrent trends point to a not-too-distant future with qualitatively advanced interactions between humans and social robots. It is critical to consider the possibility of forming meaningful social relationships with robots when defining the future of human-robot interactions, as well as studying how these interactions will evolve to the point where humans are unable to distinguish between humans and robots in urban transportation. In this study, the advantages of using social robots in urban transportation are prioritized by using a multi-criteria decisionmaking tool, which consists of two consecutive stages, namely: i) a novel fuzzy sine trigonometry based on the logarithmic method of additive weights (fuzzy ST-LMAW) that is proposed to calculate the criteria weights; ii) a nonlinear fuzzy Aczel-Alsina function based the weighted aggregate sum product assessment (fuzzy ALWASWASPAS) that is developed to select and rank the alternatives. The proposed model enables flexible nonlinear processing of complex and uncertain information encountered in real applications. A case study is developed to rank three alternatives with twelve sub-criteria grouped into four aspects using the proposed method. The results show that the most advantageous alternative is to replace people with social robots as safety drivers in level four autonomous vehicles due to their possible impact on transportation.en_US
dc.identifier.doi10.1016/j.techfore.2023.122743
dc.identifier.issn0040-1625
dc.identifier.issn1873-5509
dc.identifier.scopus2-s2.0-85165954236en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.techfore.2023.122743
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5576
dc.identifier.volume194en_US
dc.identifier.wosWOS:001051320200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofTechnological Forecasting and Social Changeen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectSocial Robotsen_US
dc.subjectUrban Transportationen_US
dc.subjectHuman-Robot Interactionen_US
dc.subjectFuzzy Setsen_US
dc.subjectMulti-Criteria Decision Making (Mcdm)en_US
dc.subjectTrigonometric Operatorsen_US
dc.titleAssessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making modelen_US
dc.typeArticleen_US

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