PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
INS 536	FUZZY LOGIC MODELLING IN CIVIL ENGINEERING	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	To introduce main principles of Fuzzy Logic Approach and Modelling Steps.
Course Content	Uncertainty Concepts; Classical Sets and Characteristic Values; Fuzzy Sets and Membership Degreees; Membership Functions; Fuzzification; Fuzzy Set Operations, Anding, Oring and Noting; Fuzzy Relationships; Fuzzy Mathematics, Addition, Subtraction, Multiplication and Division; Fuzzy Logic Propositions, Predicates, Consequents and Decisions; Defuzzification, Fuzzy Rules and Systems, Applications.Use of MATLAB Fuzzy Logic Toolbox in Fuzzy Modelling. Fuzzy-Neural Modelling Algorithms. Fuzzy Clustering Approach in Modelling. Type-2 Fuzzy Sets in Fuzzy Modelling. Use of Fuzzy Logic Approach in Civil Engineering Problems. Applications on Transportation, Hydraulics, Structure and Geotechnical Engineering. .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Will be able to have information about main principles of fuzzy logic approach.
2	Will be able to have information about uncertainty phenomenon and modelling.
3	Will be able to have information about fuzzification-inference and defuzzification mechanisms.
4	Will be able to make a model by fuzzy logic.

COURSE'S CONTRIBUTION TO PROGRAM

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	3	42
Assignments	2	30	60
Mid-terms	1	25	25
Final examination	1	26	26
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
INS 536	FUZZY LOGIC MODELLING IN CIVIL ENGINEERING	3 + 0	1	Turkish	2022-2023 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. YETİŞ ŞAZİ MURAT	ysmurat@pau.edu.tr		MUH BA0114	%

Goals		To introduce main principles of Fuzzy Logic Approach and Modelling Steps.
Content		Uncertainty Concepts; Classical Sets and Characteristic Values; Fuzzy Sets and Membership Degreees; Membership Functions; Fuzzification; Fuzzy Set Operations, Anding, Oring and Noting; Fuzzy Relationships; Fuzzy Mathematics, Addition, Subtraction, Multiplication and Division; Fuzzy Logic Propositions, Predicates, Consequents and Decisions; Defuzzification, Fuzzy Rules and Systems, Applications.Use of MATLAB Fuzzy Logic Toolbox in Fuzzy Modelling. Fuzzy-Neural Modelling Algorithms. Fuzzy Clustering Approach in Modelling. Type-2 Fuzzy Sets in Fuzzy Modelling. Use of Fuzzy Logic Approach in Civil Engineering Problems. Applications on Transportation, Hydraulics, Structure and Geotechnical Engineering. .

Topics

Weeks	Topics
1	Introduction
2	Uncertainty Modelling Approaches
3	Artificial Intelligence methods
4	Classical and Fuzzy Sets
5	Fuzzy Relations
6	Fuzzy Mathematics
7	Fuzzy Logic Modelling Stages
8	Fuzzification-Inference-Defuzzification Methods
9	Fuzzy Rules and Rule Based Systems
10	Fuzzy-Neural Systems
11	Fuzzy Clustering Approach
12	Type II Fuzzy Sets
13	Fuzzy Logic Modelling Softwares
14	General Evaluation

Materials

Materials are not specified.

Resources

Resources	Resources Language
Ross, T. (1995) Fuzzy Logic with Engineering Applications	English
Şen, Z. (2011) Bulanık Mantık ve Modelleme, Su Vakfı Yayınları.	Türkçe

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