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dc.contributor.authorSemėnas, Rokas
dc.contributor.authorBaušys, Romualdas
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.date.accessioned2023-09-18T16:09:51Z
dc.date.available2023-09-18T16:09:51Z
dc.date.issued2021
dc.identifier.issn1220-1766
dc.identifier.other(WOS_ID)000704288100002
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111985
dc.description.abstractUnknown environment exploration by an autonomous robot is a complex problem that requires robustness and reliability of the applied exploration strategy. Currently, a common approach to autonomous exploration is to incrementally increase the robot’s knowledge about the environment by directing it to the regions which border currently unexplored areas (frontiers). However, deciding where to move next when multiple alternatives are present introduces an additional layer of complexity. As such, a decision might require balancing the competing high-level objectives (for example, visiting several priority locations while also reducing the robot travelled distance). This research proposes a novel environment exploration strategy and the extension for the WASPAS multi-criteria decision making (MCDM) method, modelled under the m-generalised q-neutrosophic environment, namely, WASPAS-mGqNS. The proposed method is applied to address the problem of selecting the next frontier that the exploring robot should reach. Case study results highlight how the proposed approach could be applied to minimise the robot-travelled distance and maximise the observed environment when the robot is tasked to visit several priority locations set in advance by the robot operator.eng
dc.formatPDF
dc.format.extentp. 19-28
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.source.urihttps://doi.org/10.24846/v30i3y202102
dc.titleA novel environment exploration strategy by m-generalised q-neutrosophic WASPAS
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references24
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.studydirectionB04 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enmulti-criteria decision making
dc.subject.enm-generalised q-neutrosophic sets
dc.subject.enWASPAS-mGqNS
dc.subject.enautonomous environment exploration
dcterms.sourcetitleStudies in informatics and control
dc.description.issueiss. 3
dc.description.volumevol. 30
dc.publisher.nameNational Institute for R&D in Informatics, ICI Bucharest
dc.publisher.cityBucharest
dc.identifier.doi000704288100002
dc.identifier.doi10.24846/v30i3y202102
dc.identifier.elaba109023650


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