A MULTI CRITERIA GROUP DECISION MAKING APPROACH BASED ON FUZZY MEASURE THEORY TO ASSESS THE DIFFERENT GENE REGIONS USED IN RODENT SPECIES
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 diversificat...
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Published in | TWMS journal of applied and engineering mathematics Vol. 13; no. 4; p. 1669 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Istanbul
Turkic World Mathematical Society
01.01.2023
Elman Hasanoglu |
Subjects | |
Online Access | Get full text |
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Summary: | 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 diversification 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. Keywords: Multi criteria group decision making, fuzzy measure theory, DNA barcoding, molecular markers. AMS Subject Classification: 28E10, 92B05, 92B10. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2146-1147 2146-1147 |