CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Fuzzy Graphs MAT575 FALL-SPRING 3+0 Fac./ Uni. E 6
    Learning Outcomes
    1-Define the concept of fuzzy graph
    2-Performs product operations of fuzzy graphs
    3-Determines the isomorphic graphs
    4-Compute eigenvalues of fuzzy graphs
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14798
    Assignments0000
    Short-Term Exams (exam + preparation) 10144
    Midterm exams (exam + preparation)3011010
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6011212
    0000
    Total Workload (hours)   166
    Total Workload (hours) / 30 (s)     5,53 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Basic concepts related to graphs R1. Section 1
    2 Fuzzy sets and Fuzzy relations R2. Section 1
    3 Definition of Fuzzy graphs and basic concepts of fuzzy graph R3. Section 1.1,1.2,1.3,1.4 ve 1.5
    4 Automorphism and Isomorphism of Fuzzy Graphs R3. Section 1.6
    5 Complement of Fuzzy Graph R3. Section 1.7
    6 Regular and Irregular Fuzzy Graphs R3. Section 1.8
    7 Union, Join and Composition of Fuzzy Graphs R3. Section 1.9.1, 1.9.2, 1.9.3
    8 Direct, semi-strong and strong products of Fuzzy Graphs R3.Section 1.9.4, 1.9.5, 1.9.6
    9 Cartesian, Tensor, Normal, Modular and Homomorphic products of Fuzzy Graphs R3. Section 1.9.7, 1.9.8, 1.9.9, 1.9.10, 1.9.11
    10 Matrix Representation of Fuzzy Graphs R3.Section 1.10
    11 Balanced Fuzzy Graphs and Cliques in Fuzzy Graphs R3. Section 1.11, 1.12
    12 Independent Sets and Domination in Fuzzy Graphs R3.Section 1.13, 1.14
    13 Eigenvalues and Energy of Fuzzy Graphs R3. Section 1.15
    14 Extension of Fuzzy Graphs R3.Section 1.17
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assoc. Prof. Dr. Faruk KARAASLAN
    Instructors -
    Assistants -
    Resources R1.Büyükköse, Ş., & Gök, G. K. (2018). Graf Teoriye Giriş. R2. Mordeson, J. N., & Nair, P. S. (2012). Fuzzy graphs and fuzzy hypergraphs (Vol. 46). Physica. R3. Pal, M., Samanta, S., & Ghorai, G. (2020). Modern trends in fuzzy graph theory (pp. 7-93). Springer
    Supplementary Book SR1. Paksoy, T., Pehlivan, N. Y., & Özceylan, E. (2013). Bulanık küme teorisi. Nobel Yayın: Ankara.
    Goals To teach the structure of fuzzy graphs, basic concepts of fuzzy graphs and operations between fuzzy graphs
    Content Fuzzy graphs, product operations of fuzzy graphs, Automorphism and isomorphism of fuzzy graphs, matrix representation of fuzzy graphs and eigenvalues, extensions of fuzzy graphs
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Improve and deepen the gained knowledge in Mathematics in the speciality level 3
    2 Use gained speciality level theoretical and applied knowledge in mathematics 3
    3 Perform interdisciplinary studies by relating the gained knowledge in Mathematics with other fields. 3
    4 Analyze mathematical problems by using the gained research methods 2
    5 Conduct independently a study requiring speciliaty in Mathematics -
    6 Develop different approaches and produce solutions by taking responsibility to problems encountered in applications -
    7 Evaluate the gained speciality level knowledge and skills with a critical approach and guide the process of learning -
    8 Transfer recent and own research related to mathematics to the expert and non-expert shareholders written, verbally and visually -
    9 Uses computer software and information technologies related to the field of mathematics at an advanced level. -
    10 Have the awareness of acting compatible with social, scientific, cultural and ethical values during the process of collecting, interpreting, applying and informing data related to Mathematics -
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