Rodyti trumpą aprašą

dc.contributor.authorMiliauskaitė, Jolanta
dc.contributor.authorKalibatienė, Diana
dc.date.accessioned2023-09-18T16:08:07Z
dc.date.available2023-09-18T16:08:07Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111572
dc.description.abstractNowadays, the web service (WS) usage in information systems (IS) includes determining a feasible WS that fulfils a set of non-functional requirements of Quality of Services (QoS) and user’s needs of Quality of Experience (QoE). While most existing studies evaluate WS from one perspective, i.e., users, and are based on data-driven approach, which employs a numerical dataset to learn a reasoning model, they overlook that users express their needs in a non-numerical form. To address these issues, we propose a new fuzzy reasoning approach for predicting WS QoS/QoE with the adaptive neuro-fuzzy inference system (ANFIS) that encompasses multiple viewpoints and perspectives, and is also suitable for linguistic terms. To verify the efficiency, we implemented the proposed approach, conducted two experiments and compared them. The results show a good performance of the proposed approach for predicting WS QoS/QoE, and, consequently, it can be considered a suitable tool for predicting.eng
dc.format.extentp. 1-12
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.source.urihttps://aisel.aisnet.org/isd2014/proceedings2021/managingdevops/7/
dc.source.urihttps://aisel.aisnet.org/isd2014/proceedings2021/
dc.titleFuzzy reasoning approach for predicting web services QoS/QoE with ANFIS
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references43
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - 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.enweb service
dc.subject.enquality of service
dc.subject.enQoS
dc.subject.enquality of experience
dc.subject.enQoE
dc.subject.enInformation system
dc.subject.enfuzzy reasoning
dcterms.sourcetitleThe 29th International Conference on Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), Universitat Politècnica de València, Spain, 8–10 September 2021: Track 1: Managing is development and operations
dc.publisher.nameUniversitat Politècnica de València
dc.publisher.cityValencia
dc.identifier.elaba104654856


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