PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 513	FUZZY LOGIC AND ENGINEERING APPLICATIONS	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	Learning of fuzzy set concept and desiging of some fuzzy logic systems.
Course Content	Fuzzy sets, fuzzy numbers, t-norm, s-norm, fuzzy relations, fuzzy modelling, fuzzy control, building rule base and engineering applications of fuzzy logic systems.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Defines Fuzziness concept
2	Differentiates between crisp sets and fuzzy sets
3	Differentiates between crisp relationships and fuzzy relationships
4	Defines Fuzzy system
5	Explains implementation of Fuzzy system in Matlab

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	2	4	3	2
LO 002	5	2	4	3	2
LO 003	5	2	4	3	2
LO 004	5	2	4	3	2
LO 005	5	2	4	3	2
Sub Total	25	10	20	15	10
Contribution	5	2	4	3	2	0	0	0	0	0	0	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Assignments	5	8	40
Mid-terms	1	15	15
Final examination	1	28	28
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester	Mode of Delivery
CENG 513	FUZZY LOGIC AND ENGINEERING APPLICATIONS	3 + 0	1	Turkish	2025-2026 Spring	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. EMRE ÇOMAK	ecomak@pau.edu.tr		Course location is not specified.	%

Goals		Learning of fuzzy set concept and desiging of some fuzzy logic systems.
Content		Fuzzy sets, fuzzy numbers, t-norm, s-norm, fuzzy relations, fuzzy modelling, fuzzy control, building rule base and engineering applications of fuzzy logic systems.

Topics

Weeks	Topics
1	Definition, History, Advantages and Disadvantages of Fuzzy Logic Systems
2	Classical Sets and Fuzzy Sets
3	Classical Relations and Fuzzy Relations
4	Properties of Membership Functions, Fuzzification and Defuzzification
5	Logic and Fuzzy Systems, Aprroximate Reasoning, Linguistic Hedges
6	Logic and Fuzzy Systems, Aprroximate Reasoning, Linguistic Hedges
7	Development of Membership Functions
8	Development of Membership Functions
9	Rule-Base Reduction Methods
10	Decision Making with Fuzzy Information
11	Fuzzy Control Systems
12	Student Presentations
13	Student Presentations
14	Student Presentations

Materials

Materials are not specified.

Resources

Resources	Resources Language
Timothy J. Ross, Fuzzy Logic with Engineering Applications, 2nd edition, Wiley, 2004	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student