EM564 Fuzzy Mathematical Modeling

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING (MASTER) (WITH THESIS)
Code EM564
Name Fuzzy Mathematical Modeling
Term 2019-2020 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. EBRU YILMAZ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The purpose of this course is to study fuzzy mathematical models in various problems.

Course Content

Classical and fuzzy sets, membership functions, fuzzy set operations, fuzzification and defuzzification, fuzzy relations, fuzzy linear programming, fuzzy integer programming, fuzzy mathematical models.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Has knowledge about fuzzy mathematical modeling.
LO02 Expresses how to assign membership degrees to create a fuzzy system.
LO03 Calculates addition, subtraction, multiplication and division of fuzzy numbers.
LO04 Expresses fuzzification and defuzzification processes.
LO05 Develops a fuzzy model for a problem faced using fuzzy mathematical modeling.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. 5
PLO02 - Acquires comprehensive knowledge about methods and tools of industrial engineering and their limitations. 5
PLO03 - Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. 5
PLO04 - Completes and applies the knowledge by using scarce and limited resources in a scientific way and integrates the knowledge into various disciplines. 4
PLO05 - Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. 5
PLO06 - Has the ability to propose new and/or original ideas and methods, develops innovative solutions for designing systems, components or processes. 4
PLO07 - Designs Industrial Engineering problems, develops innovative methods to solve the problems and applies them. 5
PLO08 - Works in multi-disciplinary teams and takes a leading role and responsibility. 3
PLO09 - Identifies, gathers and uses necessary information and data. 4
PLO10 - Follows, studies and learns new and developing applications of industrial engineering. 5
PLO11 - Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. 4
PLO12 - Presents his/her research findings systematically and clearly in oral and written forms in national and international platforms. 4
PLO13 - Understands social and environmental implications of engineering practice. 4
PLO14 - Considers social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. 5
PLO15 - Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. 3


Week Plan

Week Topic Preparation Methods
1 Classical and fuzzy sets Reading the resources related to the section
2 Classical and fuzzy sets Reading the resources related to the section
3 Membership functions Reading the resources related to the section
4 Fuzzy set operations Reading the resources related to the section
5 Fuzzification and defuzzification Reading the resources related to the section
6 Fuzzy relations Reading the resources related to the section
7 Fuzzy linear programming Reading the resources related to the section
8 Mid-Term Exam The preparation for the mid-term exam
9 Fuzzy linear programming Reading the resources related to the section
10 Fuzzy integer programming Reading the resources related to the section
11 Fuzzy integer programming Reading the resources related to the section
12 Fuzzy mathematical models Reading the resources related to the section
13 Fuzzy mathematical models Reading the resources related to the section
14 Fuzzy mathematical models Reading the resources related to the section
15 Project presentations The preparation for the project presentation
16 Term Exams The preparation for the term exam
17 Term Exams The preparation for the term exam

Update Time: 29.08.2019 03:50