Yozgat Bozok University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
MAT576	FUZZY CLUSTER THEORY II	Elective	1	1	6

Level of Course Unit

Second Cycle

Objectives of the Course

To comprehend fuzzy set

Name of Lecturer(s)

Dr.Öğr.Üyesi Funda BABAARSLAN

Learning Outcomes

1	To learn fuzzy set
2	To apply fuzzy set

Mode of Delivery

Formal Education

Prerequisites and co-requisities

Recommended Optional Programme Components

Course Contents

Fuzzy numbers, Triangular fuzzy numbers, Trapezoidal fuzzy numbers, Arithmetic operations in fuzzy numbers, Distance between two fuzzy numbers, Metric concept in fuzzy numbers, Sort order relations in fuzzy numbers, Partial sort relations Convergence, boundedness, statistical convergence, statistical limitation, Strong p-Cesaro summability, alpha degree convergence and statistical convergence, alpha degree statistical limitation and Strong p-Cesaro summability, Alpha degree convergence, statistical convergence, statistical limitation, Strong p-Cesaro summability, Normality, monotony, symmetricity, sequence algebra and free convergence of fuzzy array spaces

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Fuzzy numbers, Triangular fuzzy numbers, Trapezoidal fuzzy numbers
2	Arithmetic operations in fuzzy numbers, Distance between two fuzzy numbers
3	Metric concept in fuzzy numbers, Sort order relations in fuzzy numbers, Partial sort relation
4	Fuzzy number sequences, Fuzzy difference number sequences
5	Convergence, limitation, statistical convergence, statistical limitation in fuzzy number sequences and fuzzy difference number sequences
6	Strong p-Cesaro summability
7	alpha degree convergence and statistical convergence
8	alpha degree boundness and Strong p-Cesaro summability
9	Alpha degree convergence, statistical convergence, statistical limitation for fuzzy difference number sequences
10	Strong p-Cesaro summability
11	Normality property of fuzzy sequence spaces
12	Monotony property fuzzy sequence spaces
13	Symmetricity property of fuzzy sequence spaces
14	Sequence algebra and free convergence properties of fuzzy sequence spaces

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Work Placement(s)

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	70	70
Final Examination	1	80	80
Makeup Examination	1	20	20
TOTAL WORKLOAD (hours)			170

Contribution of Learning Outcomes to Programme Outcomes

LO1

LO2

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High