|Course Title||Code||Semester||L+P Hour||Credits||ECTS|
|Introduction to Fuzzy Set Theory *||ENS 441||7||3||3||4|
|Prerequisites and co-requisites||Yok|
|Recommended Optional Programme Components||None|
|Language of Instruction||Turkish|
|Course Level||First Cycle Programmes (Bachelor's Degree)|
|Course Coordinator||Asst.Prof.Dr. Ebru YILMAZ|
teaching basic characteristics of fuzzy mathematical models.
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's Contribution To Program|
|No||Program Learning Outcomes||Contribution|
Has sufficient background on topics related to mathematics, physical sciences and industrial engineering.
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.
Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems .
Gains ability to choose and apply methods and tools for industrial engineering applications.
Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions.
Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team.
Can access information and to search/use databases and other sources for information gathering.
Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously.
Can use computer software in industrial engineering along with information and communication technologies.
Can use oral and written communication efficiently.
Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession.
Has a conscious understanding of professional and ethical responsibilities.
Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice.
Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering.
|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||Midterm 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|
|16-17||Final exam||The preparation for the final exam|
|Recommended or Required Reading|
ŞEN, Z., 2004, Mühendislikte Bulanık (Fuzzy) Mantık ile Modelleme Prensipleri, Su Vakfı Yayınları, İkinci Baskı, İstanbul, 195 sayfa.