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 inTWMS journal of applied and engineering mathematics Vol. 13; no. 4; p. 1669
Main Authors Karacan, G.O, Unver, M, Ponta, M.I
Format Journal Article
LanguageEnglish
Published Istanbul Turkic World Mathematical Society 01.01.2023
Elman Hasanoglu
Subjects
Analysis
Bar codes
Criteria
Cytochrome
Decision making
Genes
Genomes
Integrals
Mathematics
Mitochondrial DNA
Phylogenetics
Phylogeny
Taxonomy
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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 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.
AbstractList 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.
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.
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 diversi cation 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 di erent fuzzy measures and fuzzy integral techniques that COI gene region which is preferred in animal barcoding studies is more favorable.
Audience Academic
Author Ponta, M.I
Karacan, G.O
Unver, M
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Copyright COPYRIGHT 2023 Turkic World Mathematical Society
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Elman Hasanoglu
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SubjectTerms Analysis
Bar codes
Criteria
Cytochrome
Decision making
Genes
Genomes
Integrals
Mathematics
Mitochondrial DNA
Phylogenetics
Phylogeny
Taxonomy
Title A MULTI CRITERIA GROUP DECISION MAKING APPROACH BASED ON FUZZY MEASURE THEORY TO ASSESS THE DIFFERENT GENE REGIONS USED IN RODENT SPECIES
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