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
1Putting into practice and/or developing scientific methods by deepening and improving information acquired at a former level.X
2The ability to solve complex problems independently by developing analysis, synthesis, critical thinking and problem solving capabilities and/or to find original solutions to addressed problems.X
3Designing a process or a system by using modern design methods and tools.X
4To be able to collect, evaluate and interpret data by means of scientific methods and access to new information systematically by using appropriate scientific methods.X
5Gaining the ability to determine solution methods and/or to develop scientific methods by taking part in multidisciplinary teams and integrating information from different areas within study field.X
6The ability to determine the appropriate tools in the processes of scientific research and to use information technologies effectively.X
7The ability to plan and manage projects, to define alternative solutions and/or to develop alternative solution methods to defined problems.X
8The ability to present his/her accumulation of scientific knowledge oral and in written.X
9The ability to contribute into science by publishing novel scientific results in national /international journals.X
10The ability to defend his/her thesis or scientific methods in front of expert groups.X
11The ability to update his/her knowledge continuously by following the scientific developments.X
12The ability to take into account the social, environmental and ethical values while conducting a scientific research and/or to produce solutions in social, environmental and ethical subjects.X
 -- 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)