Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF LETTERS & SCIENCE / MAT367 - MATHEMATICS

Code: MAT367 Course Title: FUZZY SET THEORY I Theoretical+Practice: 4+0 ECTS: 6
Year/Semester of Study 3 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department MATHEMATICS
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ZARİFE ZARARSIZ (zarifezararsiz@nevsehir.edu.tr)
Name of Lecturer(s) ZARİFE ZARARSIZ,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
This course aims to teach the basic concepts of fuzzy set theory.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 The concept of fuzzy set is known. PO-2 Have the knowledge to critize, analyze, and evaluate the correctness, reliability, and validity of mathematical data.
PO-11 With the knowledge he gain, they determine the learning needs of those working under him, execute the musts of graduate education.
Examination
LO-2 The operations on fuzzy set is known. PO-2 Have the knowledge to critize, analyze, and evaluate the correctness, reliability, and validity of mathematical data.
PO-11 With the knowledge he gain, they determine the learning needs of those working under him, execute the musts of graduate education.
Examination
LO-3 The arithmetic operations on fuzzy sets are learned. PO-2 Have the knowledge to critize, analyze, and evaluate the correctness, reliability, and validity of mathematical data.
PO-11 With the knowledge he gain, they determine the learning needs of those working under him, execute the musts of graduate education.
Examination
LO-4 The fuzzy relations on fuzzy sets are learned. PO-2 Have the knowledge to critize, analyze, and evaluate the correctness, reliability, and validity of mathematical data.
PO-11 With the knowledge he gain, they determine the learning needs of those working under him, execute the musts of graduate education.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
From Crisp sets to fuzzy sets, Fuzzy sets versus crips sets, Operation on fuzzy sets, Fuzzy Arithmetic, Fuzzy Relations, Fuzzy Relations Equations, Functions of Fuzzy Variables
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 From Crisp sets to fuzzy sets To speech
2 Fuzzy sets versus crips sets To speech
3 Operation on fuzzy sets To speech
4 Operation on fuzzy sets To speech
5 Fuzzy Arithmetic To speech
6 Fuzzy Arithmetic To speech
7 Fuzzy Arithmetic To speech
8 mid-term exam
9 Fuzzy Arithmetic To speech
10 Fuzzy Relations To speech
11 Fuzzy Relations To speech
12 Fuzzy Relations Equations To speech
13 Fuzzy Relations Equations To speech
14 Fuzzy Relations Equations To speech
15 Functions of Fuzzy Variables To speech
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Fuzzy sets and fuzzy logic, Theory and application, g. Klir and B. Yuan
2 First Course on Fuzzy Theory and Applications, Kwang H. Lee
Required Course instruments and materials
Related books and internet

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 14 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 4 15 60
Outside Class
       a) Reading 3 12 36
       b) Search in internet/Library 3 12 36
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 7 14
mid-term exam 2 1 2
Own study for final exam 5 6 30
final exam 2 1 2
0
0
Total work load; 180