Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Mathematics
  • Doctorate Degree (Ph.D)
  • Course Structure Diagram with Credits
  • Z-Numbers Theory
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT653 - Z-Numbers Theory
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR DOKTOR HANDAN AKYAR
Mode of Delivery The mode of delivery of this course is face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None
Recommended Reading List R. Aliev, Uncertain Computation-Based Decision Teory, World Scientific Publishing Co. Pte. Ltd., Singapore, 2018.
Assessment methods and criteria One midterm exam, one final exam (written exam)
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 The general concept of a Z-restriction and Z-numbers
Week - 2 Definitions and main properties of Z-numbers
Week - 3 Interval and fuzzy arithmetic
Week - 4 Operations on continuous Z-numbers: Addition, subtraction on continuous Z-numbers
Week - 5 Operations on continuous Z-numbers: Multiplication and division on continuous Z-numbers
Week - 6 Operations on discrete Z-numbers: Addition and subtraction on discrete Z-numbers
Week - 7 Operations on discrete Z-numbers: Multiplication and division on discrete Z-numbers
Week - 8 Z-number based operation research problems: Z-number valued linear programming
Week - 9 Z-restriction based multicriteria choice, decision making under Z-information
Week - 10 Computing with words and Z-numbers
Week - 11 Business behavioral decision under Z-information
Week - 12 Marketing decision making process under Z-information
Week - 13 Optimal planning of company production by Z-linear programming
Week - 14 Z-number modeling in psychological research

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Problem solving
  • Information Management
  • To work autonomously
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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