Risk analysis of the autonomous vehicle driving systems by using pythagorean fuzzy AHP

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dc.contributor.authorKaraşan, Ali
dc.contributor.authorKaya, İhsan
dc.contributor.authorErdoğan, Melike
dc.contributor.authorBudak, Ayşenur
dc.date.accessioned2020-04-30T13:33:18Z
dc.date.available2020-04-30T13:33:18Z
dc.date.issued2020
dc.departmentDÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- 228529en_US
dc.description.abstractAutonomous driving system (ADS) is a combination of different components those can be composed as operations of the automobile and decision making mechanisms both in regular time and unexpected situations. These operations are performed by a virtual driver to carry out the objectives that are determined by the users. The main advantages of ADS are to free the drivers from attention states which are presented by American Automobile Association Foundation (AAAF). At the same time, there are some safety risks for these systems those need to be tested and solved. In this paper, we analyzed ADS to prioritize risks by using Pythagorean fuzzy sets (PFSs) that can be used to represent uncertainty in decision process. For this aim, a methodology based on Pythagorean analytic hierarchy process (PAHP) has been suggested. By the way, the Hazard Analysis and Risks Assessment introduced in the ISO 26262 standards are taken as a basis for risk evaluation. © 2020, Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-23756-1_110en_US
dc.identifier.endpage934en_US
dc.identifier.isbn9783030237554
dc.identifier.issn2194-5357
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage926en_US
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-030-23756-1_110
dc.identifier.urihttps://hdl.handle.net/20.500.12684/601
dc.identifier.volume1029en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAHP; Autonomous vehicle; Decision making; Driving systems; Pythagorean fuzzy sets; Risk assessmenten_US
dc.titleRisk analysis of the autonomous vehicle driving systems by using pythagorean fuzzy AHPen_US
dc.typeConference Objecten_US

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