GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
TYPE-2 FUZZY SYSTEMS AND APPLICATIONS/5091333
Course Title: TYPE-2 FUZZY SYSTEMS AND APPLICATIONS
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
The students who succeeded in this course will be able to: Explain the basic tools of Type-1 and Type-2 fuzzy logic systems.
Explain the advantages and disadvantages of Type-1 and Type-2 fuzzy systems according to each other.
Come up with a solution to the problems in the field of engineering by applying theType-1 and Type-2 fuzzy system
Examine and analyze applications performed with the type-1 and type-2 fuzzy logic systems.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Type-1 Fuzzy Logic Theory
2. Week  Type-1 Fuzzy Sets: Type1-fuzzy set representations, Type-1 membership functions, Type-1 fuzzy set operations.
3. Week  Type-1 Fuzzy Relations and Type-1 Fuzzy Compositions: Cartesian product, Sharp relations, Type-1 fuzzy relations, Composition operators.
4. Week  Type-1 Fuzzy Inference: Linguistic variables, Type-1 fuzzy rules; Type-1 fuzzy implication functions.
5. Week  Type-1 Fuzzy Logic Defuzzification Process
6. Week  Type-1 Fuzzy Logic System Models: Mamdani Fuzzy Model, Sugeno Fuzzy Model.
7. Week  Design of Type 1 Fuzzy Systems: Fuzzification, consisting of rule and database, inference engine, defuzzification.
8. Week  Midterm exam.
9. Week  Type-2 Fuzzy Logic Theory
10. Week  Type-2 Fuzzy Sets: Type-2 fuzzy set representations, Type-2 membership functions, Interval Type-2 fuzzy sets, Type-2 fuzzy set operations.
11. Week  Type-2 Fuzzy Logic Systems: Singleton Type-2 fuzzy logic system, Nonsingleton fuzzy logic system, Sugeno type-2 fuzzy logic system.
12. Week  Design of Type 2 Fuzzy Logic Systems: fuzzification operations, rule base operations, inference operations, Type reduction operations, Defuzzification operations.
13. Week  Application of Type-1 and Type-2 Fuzzy Logic Systems to Engineering Problems.
14. Week  Research and Application Term Project
15. Week  Research and Application Term Project
16. Week  Final exam.
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
0
0
 Application
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
15
3
45
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
12
2
24
 Searching in Internet and Library
12
3
36
 Material Design and Implementation
0
 Report Preparing
3
10
30
 Preparing a Presentation
1
10
10
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
2
5
10
 Final Exam and Preperation for Final Exam
3
5
15
 Other (should be emphasized)
4
4
16
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
 -- NAME OF LECTURER(S)
   (Assist. Prof. Dr. İsmail ATACAK)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/iatacak)
 -- EMAIL(S) OF LECTURER(S)
   (iatacak@gazi.edu.tr)