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Decision-aided evaluation of paths for routing on multi-attribute computer network consisting of encoded paths under uncertainty

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dc.contributor.author Kayaturan, Gokce Caylak
dc.contributor.author Ozcelik, Gokhan
dc.contributor.author Gokce, Aytuel
dc.date.accessioned 2024-03-20T13:51:11Z
dc.date.available 2024-03-20T13:51:11Z
dc.date.issued 2023
dc.identifier.citation Kayaturan, GÇ., Özçelik, G., Gökçe, A. (2023). Decision-aided evaluation of paths for routing on multi-attribute computer network consisting of encoded paths under uncertainty. Expert Syst. Appl., 223. https://doi.org/10.1016/j.eswa.2023.119881 en_US
dc.identifier.issn 0957-4174
dc.identifier.issn 1873-6793
dc.identifier.uri http://dx.doi.org/10.1016/j.eswa.2023.119881
dc.identifier.uri https://www.webofscience.com/wos/woscc/full-record/WOS:000961526700001
dc.identifier.uri http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/4830
dc.description WoS Categories: Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science en_US
dc.description Web of Science Index: Science Citation Index Expanded (SCI-EXPANDED) en_US
dc.description Research Areas: Computer Science; Engineering; Operations Research & Management Science en_US
dc.description.abstract The network users need to evaluate the alternative transmission pathways to avoid some routing problems such as possible network attacks, data traffic, etc. in computer networks. In order to provide a mathematical solution to this situation, in this paper the computer network system is considered as a graph, and a random data structure denoted by Bloom filter is used to forward data between computers in the network. The Bloom filter has been used for encoding the routes minimises the query response time, although it has a significant risk of producing errors indicated by false positives (FP). The study aims to assess all paths between two distinct computers on a multi-attribute computer network considering risk and FP values regarding paths. These considerations are inherently vagueness. That being the case, a novel two-stage research methodology is presented to determine the desired pathways during message transmission on a multi-attribute computer network under uncertainty. At this point, the values of the possible risks and the probability of FP of the transmission edges are defined by employing triangular fuzzy numbers to reach the theoretical solutions. The novelty of the study is proposing a research methodology based on fuzzy Multi-Criteria Decision Making (MCDM) techniques to offer alternative routes during data transmission on any multi-attribute computer network under uncertainty for the first time. Further, a sensitivity analysis is implemented. In all computational analyses, the most appropriate and reliable transmission pathways are listed, and some managerial insights and main findings are provided for the network users. en_US
dc.description.sponsorship Ordu University [A-2113] en_US
dc.language.iso eng en_US
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD-OXFORD en_US
dc.relation.isversionof 10.1016/j.eswa.2023.119881 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Fuzzy environment, Bloom filter, Multi-criteria decision making, Computer network en_US
dc.subject BLOOM FILTERS, FUZZY, TOPSIS, HASH en_US
dc.title Decision-aided evaluation of paths for routing on multi-attribute computer network consisting of encoded paths under uncertainty en_US
dc.type article en_US
dc.relation.journal EXPERT SYSTEMS WITH APPLICATIONS en_US
dc.contributor.department Ordu Üniversitesi en_US
dc.contributor.authorID 0000-0001-5314-8576 en_US
dc.identifier.volume 223 en_US


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