Course Name Code Semester T+U Hours Credit ECTS
Fuzzy Multi-Criteria Decision Making Methods ENM 545 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. ÖZER UYGUN
Course Lecturers
Course Assistants
Course Category
Course Objective

Learning and implementation of multi-criteria decision making methods.
Applicaton of decision making methods obtainin opinions of a group.
Learning and implementation of fuzzy multi-criteria decision making methods.

Course Content

Fuzzy Logic, Decision making, Multi-Criteria decision making, Fuzzy multi-criteria decision making

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understanding and implementation of multi-criteria decision making methods Lecture, Drilland Practice, Testing, Homework,
2 Making decisions using expert opinions of a group Lecture, Drilland Practice, Testing, Homework, Project / Design,
3 Application of fuzzy multi-criteria and group decision making tecniques using fuzzy liguistic terms Lecture, Drilland Practice, Case Study, Testing, Project / Design, Performance Task,
Week Course Topics Preliminary Preparation
1 Introduction to multi-criteria decision making
2 Fuzzy numbers and calculation
3 AHP and Fuzzy AHP
4 ANP and Fuzzy ANP
5 DEMATEL and Fuzzy DEMATEL
6 Hybrid DEMATEL and ANP Methods
7 TOPSIS and Fuzzy TOPSIS
8 Hybrid ANP and TOPSIS Methods
9 VIKOR Method
10 PROMETHEE Method
11 Gray Relational Analysis
12 Fuzzy Goal Programming
13 Project Presentations
14 Project Presentations
Resources
Course Notes <p>To be distributed through SABIS</p>
Course Resources

Ross, T.J. (2010), Fuzzy logic with engineering applications, John Wiley, 3rd ed.

Nolberto Munier (2011), A Strategy for Using Multicriteria Analysis in Decision-Making: A Guide for Simple and Complex Environmental Projects

Cengiz Kahraman (2008), Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments

Zehra Başkaya (2011), Bulanık Doğrusal Programlama, Ekin Basım Yayın

Mustafa M. Özkan (2003), Bulanık Hedef Programlama, Seçkin Yayınevi

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information.
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 20
1. Proje / Tasarım 30
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 5 5
Assignment 1 15 15
Project / Design 1 20 20
Final examination 1 5 5
Total Workload 141
Total Workload / 25 (Hours) 5.64
dersAKTSKredisi 6