A multi criteria group decision making approach based on fuzzy measure theory to assess the different gene regions used in rodent species
| dc.contributor.author | Olgun Karacan, Gül | |
| dc.contributor.author | Ünver, M. | |
| dc.contributor.author | Ponta, M.I. | |
| dc.date.accessioned | 2024-04-24T06:35:38Z | |
| dc.date.available | 2024-04-24T06:35:38Z | |
| dc.date.issued | 2023 | |
| dc.department | Sağlık Hizmetleri Meslek Yüksekokulu | |
| dc.description.abstract | Many mitochondrial and nuclear gene regions are used in phylogenetic and taxonomic studies to investigate the historical background of the species and to present the hierarchy of the species. In this paper, we consider the problem of proposing a favorable gene region that determines the diversiffcation of rodent species as a multi criteria group decision making problem. We use fuzzy measure theory and fuzzy integrals to get the results. We conclude with different fuzzy measures and fuzzy integral techniques that COI gene region which is preferred in animal barcoding studies is more favorable. | |
| dc.identifier.endpage | 1688 | en_US |
| dc.identifier.issn | 2146-1147 | |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 1669 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12451/11678 | |
| dc.identifier.volume | 13 | en_US |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Isik University | |
| dc.relation.ispartof | Turkish World Mathematical Society Journal of Applied and Engineering Mathematics | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | DNA Barcoding | |
| dc.subject | Fuzzy Measure Theory | |
| dc.subject | Molecular Markers | |
| dc.subject | Multi Criteria Group Decision Making | |
| dc.title | A multi criteria group decision making approach based on fuzzy measure theory to assess the different gene regions used in rodent species | |
| dc.type | Article |
