FUZZY LOGIC and MODELING

AIM

Developing engineering applications by making verbal solutions with logic and especially fuzzy logic principles instead of mathematical modeling and analysis with numerical data; determination of exact and fuzzy logic principles and modeling principles; teaching the solutions of these methods in the information and computer environment and putting them into practice.

CONTENT

This course contains; Science philosophy, words, sentences,Logic principles, ANDing, ORing, NOTing,,Logical prepositions,Two-valued, multiple-valued logics,Fuzzy logic principles,Classical and fuzzy sets, membership degree and function,Fuzzy set allocations,Fuzzification of engineering equations,Fuzzification, Defuzzification,Fuzzy logic base, maximization, minimization operations,Fuzzy models and inferences, Mamdani and Sugeno models,Defuzzification of fuzzy outputs, centroid, arithmetic and weighted averages, maximum and minimum membership degrees,Various engineering applications,Closure.

1. 1

   Models various engineering problems through fuzzy logic.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Cooperative Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

2. 2

   Solves equations with fuzzy logic.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Cooperative Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

3. 3

   Evaluates the difference between bivalent and fuzzy logic principles.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Cooperative Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

4. 4

   Provides verbal solutions to various problems.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Reverse Brainstorming Technique, Cooperative Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

WEEKLY PLAN

1. WEEK 1

   Science philosophy, words, sentences

   Preparation: Previewing book and lecture notes.

2. WEEK 2

   Logic principles, ANDing, ORing, NOTing,

   Preparation: Previewing book and lecture notes.

3. WEEK 3

   Logical prepositions

   Preparation: Previewing book and lecture notes.

4. WEEK 4

   Two-valued, multiple-valued logics

   Preparation: Previewing book and lecture notes.

5. WEEK 5

   Fuzzy logic principles

   Preparation: Previewing book and lecture notes.

6. WEEK 6

   Classical and fuzzy sets, membership degree and function

   Preparation: Previewing book and lecture notes.

7. WEEK 7

   Fuzzy set allocations

   Preparation: Previewing book and lecture notes.

8. WEEK 8

   Fuzzification of engineering equations

   Preparation: Previewing book and lecture notes.

9. WEEK 9

   Fuzzification, Defuzzification

   Preparation: Previewing book and lecture notes.

10. WEEK 10

    Fuzzy logic base, maximization, minimization operations

    Preparation: Previewing book and lecture notes.

11. WEEK 11

    Fuzzy models and inferences, Mamdani and Sugeno models

    Preparation: Previewing book and lecture notes.

12. WEEK 12

    Defuzzification of fuzzy outputs, centroid, arithmetic and weighted averages, maximum and minimum membership degrees

    Preparation: Previewing book and lecture notes.

13. WEEK 13

    Various engineering applications

    Preparation: Previewing book and lecture notes.

14. WEEK 14

    Closure

    Preparation: Previewing book and lecture notes.

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• Şen, Z., (2009). Bulanık Mantık İLkeleri ve MOdelleme (Mühendislik ve Sosyal Bilimler). Genişletilmiş 3. Baskı, Su Vakfı Yayınları, 360 sayfa. Şen, Z., (2015). Philosophical, Logical and Scientific Perspectives in Engineering. SPringed Verlag, 310 sayfa. Ross, J.V., (1995).Fuzzy LOgic with Engineering Applications.Mac-Graw-Hill, Inc., New York, 593 pages

TEACHING STAFF

• Prof.Dr. Zekai ŞENCOORDINATOR
• Prof.Dr. Zekai ŞEN