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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Business Administration
  3. PhD in Business Administration
  4. PhD in Quantitative Methods
  5. Course Structure Diagram with Credits
  6. Fuzzy Logic
  7. Description
  • Description
  • Learning Outcomes
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
SAY612 - Fuzzy Logic II. SEMESTER 3 +0 7.5
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. NESRİN ALPTEKİN
Mode of Delivery The mode of delivery of this course is Face to face.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources Buckley,J.,J. (2204) Fuzzy Statistics.Springer.
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to fuzzy logic.
Week - 2 Fuzzy Logic and Relationship with Statistic.
Week - 3 Fuzzy numbers.
Week - 4 Fuzzy Logic Set Theory.
Week - 5 Fuzzy Arithmetic.
Week - 6 Fuzzy Arithmetic.
Week - 7 Fuzzy functions.
Week - 8 Fuzzy Logic Membership Functions.
Week - 9 Fuzzy Logic Inference System.
Week - 10 Mamdani Fuzzy Model.
Week - 11 Sgeno ve Tskamoto Fuzzy Model.
Week - 12 Sgeno ve Tskamoto Fuzzy Model.
Week - 13 Application fuzzy logic with Matlab.
Week - 14 Application Samples.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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