TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENS441 |
| Name | Introduction to Fuzzy Set Theory |
| Term | 2018-2019 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. EBRU YILMAZ |
| Course Instructor |
Doç. Dr. EBRU YILMAZ
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to give basic characteristics about fuzzy mathematical modeling technique.
Course Content
Fuzziness and probability concepts, Basic characteristics of fuzzy systems, Membership functions, Parts of membership functions, Assignment of membership degrees, Classical and fuzzy sets, Fuzzy set operations, Fuzzy mathematics, Addition and subtraction of fuzzy numbers, Multiplication and division of fuzzy numbers, Defuzzification, Application samples.
Course Precondition
Yok
Resources
Notes
ŞEN, Z., 2004, Mühendislikte Bulanık (Fuzzy) Mantık ile Modelleme Prensipleri, Su Vakfı Yayınları, İkinci Baskı, İstanbul, 195 sayfa.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Expresses membership function concept and its parts. |
| LO02 | Expresses the properties of the membership function. |
| LO03 | Expresses how to assign membership degrees to create a fuzzy system. |
| LO04 | Calculates addition, subtraction, multiplication, division of fuzzy numbers. |
| LO05 | Expresses the basic operations related to fuzzy mathematical model. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. | 5 |
| PLO02 | - | Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. | 5 |
| PLO03 | - | Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . | 4 |
| PLO04 | - | Gains ability to choose and apply methods and tools for industrial engineering applications. | 5 |
| PLO05 | - | Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. | 5 |
| PLO06 | - | Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. | 4 |
| PLO07 | - | Can access information and to search/use databases and other sources for information gathering. | 5 |
| PLO08 | - | Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. | 5 |
| PLO09 | - | Can use computer software in industrial engineering along with information and communication technologies. | 4 |
| PLO10 | - | Can use oral and written communication efficiently. | 4 |
| PLO11 | - | Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. | 4 |
| PLO12 | - | Has a conscious understanding of professional and ethical responsibilities. | 5 |
| PLO13 | - | Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. | 3 |
| PLO14 | - | Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Fuzziness and probability concepts | Reading the resources related to the section | |
| 2 | Basic characteristics of fuzzy systems | Reading the resources related to the section | |
| 3 | Basic characteristics of fuzzy systems | Reading the resources related to the section | |
| 4 | Membership functions | Reading the resources related to the section | |
| 5 | Membership functions | Reading the resources related to the section | |
| 6 | Parts of membership functions | Reading the resources related to the section | |
| 7 | Assignment of membership degrees | Reading the resources related to the section | |
| 8 | Mid-Term Exam | The preparation for the midterm exam | |
| 9 | Classical and fuzzy sets | Reading the resources related to the section | |
| 10 | Fuzzy set operations | Reading the resources related to the section | |
| 11 | Fuzzy mathematics, Addition and subtraction of fuzzy numbers | Reading the resources related to the section | |
| 12 | Multiplication and division of fuzzy numbers | Reading the resources related to the section | |
| 13 | Defuzzification | Reading the resources related to the section | |
| 14 | Application samples | Reading the resources related to the section | |
| 15 | Project presentations | The preparation for the project presentation | |
| 16 | Term Exams | The preparation for the final exam | |
| 17 | Term Exams | The preparation for the final exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||