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THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
BUSINESS MANAGEMENT DEPARTMENT
2741 BUSINESS ADMINISTRATION PhD
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
ISY 655
FUZZY DECISION MAKING
3 + 0
3rd Semester
10
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Elective
Course Objective
The aim of this course is to examine fuzzy decision making methods through theoretical and real-life applications. In this course, fuzzy decision making methods and their applications will be presented.
Course Content
Various fuzzy multi-criteria decision making methods such as Fuzzy AHP, Fuzzy TOPSIS, Fuzzy PROMETHEE, Fuzzy ELECTRE, Fuzzy VIKOR, Fuzzy MOORA, Fuzzy COPRAS, Fuzzy ARAS are defined. In addition, these methods will be discussed in real life problems.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
To aid the students to learn the basic principles of fuzzy logic and multi-criteria decision making
2
To be able to benefit from fuzzy decision making methods in solving decision problems in business life
3
To enable students to make research on fuzzy decision making methods
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
LO 001
LO 002
LO 003
Sub Total
Contribution
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
14
4
56
Mid-terms
1
20
20
Final examination
1
20
20
Presentation / Seminar Preparation
2
11
22
Report / Project
3
10
30
Total Work Load
ECTS Credit of the Course
260
10
COURSE DETAILS
Select Year
All Years
2023-2024 Fall
2021-2022 Spring
2020-2021 Spring
2019-2020 Spring
2018-2019 Fall
Course Term
No
Instructors
Details
2023-2024 Fall
1
NİLSEN KUNDAKCI
Details
2021-2022 Spring
1
NİLSEN KUNDAKCI
Details
2020-2021 Spring
1
NİLSEN KUNDAKCI
Details
2019-2020 Spring
1
NİLSEN KUNDAKCI
Details
2018-2019 Fall
1
NİLSEN KUNDAKCI
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
ISY 655
FUZZY DECISION MAKING
3 + 0
1
Turkish
2023-2024 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Assoc. Prof. Dr. NİLSEN KUNDAKCI
nilsenk@pau.edu.tr
İİBF A0117
%70
Goals
The aim of this course is to examine fuzzy decision making methods through theoretical and real-life applications. In this course, fuzzy decision making methods and their applications will be presented.
Content
Various fuzzy multi-criteria decision making methods such as Fuzzy AHP, Fuzzy TOPSIS, Fuzzy PROMETHEE, Fuzzy ELECTRE, Fuzzy VIKOR, Fuzzy MOORA, Fuzzy COPRAS, Fuzzy ARAS are defined. In addition, these methods will be discussed in real life problems.
Topics
Weeks
Topics
1
Fuzzy Logic, Fuzzy Sets, Fuzzy Numbers, Operations with Fuzzy Numbers
2
Fuzzy Decision Making, Fuzzy MCDM methods
3
Fuzzy AHP
4
Fuzzy TOPSIS
5
Fuzzy VIKOR
6
Fuzzy MOORA
7
Fuzzy COPRAS
8
Fuzzy EDAS
9
Fuzzy SWARA
10
Fuzzy PIPRECIA
11
Fuzzy MARCOS
12
Fuzzy CODAS
13
Fuzzy ARAS
14
Application examples of fuzzy MCDM methods o business problems
Materials
Materials are not specified.
Resources
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
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes