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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISLE 432FUZZY LOGIC MODELS AND APPLICATIONS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Order a different approach under uncertainty Shows: Fuzzy Logic, developments of fuzzy logic systems, fuzzy set concept, fuzzy sets and probability , fuzzy inference , fuzzy controllers, neural fuzzy logic networks, fuzzy rules and membership functions
Course Content Fuzzy Logic, Classic set and fuzzy set, fuzzy sets and probability and application, fuzzy inference and application, Example of comprassion of fuzzy rules and membership functions
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns the concept of fuzzy logic.
2Understands the ability of analytical thought.
3Enables the concepts of fuzzy sets.
4Learns fuzzy rules method.
5Types the fuzzy membership functions and equations.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 0012422 54 251
LO 0022522 44 351
LO 003252  54 342
LO 004252  5  332
LO 005252  5  332
Sub Total1024104 2412 14208
Contribution25210520342

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14456
Mid-terms11515
Final examination11717
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2022-2023 Spring1İRFAN ERTUĞRUL
Details 2017-2018 Spring2İRFAN ERTUĞRUL
Details 2015-2016 Spring2İRFAN ERTUĞRUL
Details 2014-2015 Spring2İRFAN ERTUĞRUL
Details 2013-2014 Spring2İRFAN ERTUĞRUL
Details 2012-2013 Spring2İRFAN ERTUĞRUL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISLE 432 FUZZY LOGIC MODELS AND APPLICATIONS 3 + 0 1 Turkish 2022-2023 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. İRFAN ERTUĞRUL iertugrul@pau.edu.tr İİBF A0132 %70
Goals Order a different approach under uncertainty Shows: Fuzzy Logic, developments of fuzzy logic systems, fuzzy set concept, fuzzy sets and probability , fuzzy inference , fuzzy controllers, neural fuzzy logic networks, fuzzy rules and membership functions
Content Fuzzy Logic, Classic set and fuzzy set, fuzzy sets and probability and application, fuzzy inference and application, Example of comprassion of fuzzy rules and membership functions
Topics
WeeksTopics
1 Fuzzy Logic)
2 Developments of fuzzy logic systems
3 Classic set and fuzzy set
4 Fuzzy sets and probability
5 Fuzzy sets and probability and application)
6 Fuzzy inference)
7 Fuzzy inference and application
8 Midterm
9 Membership functions
10 Comprassion of fuzzy rules and membership functions
11 Comprassion of fuzzy rules and membership functions
12 Example of (Comprassion of fuzzy rules and membership functions )
13 Example of (Comprassion of fuzzy rules and membership functions )
14 Example of (Comprassion of fuzzy rules and membership functions )
Materials
Materials are not specified.
Resources
ResourcesResources Language
temel matematik,irfan ertuğrul,ekin yayınlarıTürkçe
Baykal Nazife, Bulanık Mantık İlkeleri,Bıçaklar yayınevi, AnkaraTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes