COURSE UNIT TITLE

: FUZZY LOGIC AND FUZZY SETS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3009 FUZZY LOGIC AND FUZZY SETS COMPULSORY 3 0 0 6

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYŞE ÖVGÜ KINAY

Offered to

Computer Science

Course Objective

The objective of the course is to provide information about fuzzy logic and fuzzy sets theory, calculations with using fuzzy sets, definition of linguistic variable and how to use in various calculations.

Learning Outcomes of the Course Unit

1   Be able to explain the differences between classical set and fuzzy set.
2   Be able to perform set operations on fuzzy sets.
3   Be able to perform arithmetical operations on fuzzy numbers.
4   Be able to to solve problems using linguistic variables.
5   Be able to interpret the systems that contains fuzziness.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Fuzzy logic principles and foundations
2 Fuzzy sets and set operations
3 Further operations on fuzzy sets
4 Extension principle
5 Fuzzy relations and properties
6 Fuzzy relations and properties (cont.)
7 Fuzzy Measures
8 Mid-term exam
9 Fuzzy arithmetic
10 Fuzzy arithmetic (cont.)
11 Fuzzy arithmetic (cont.)
12 Linguistic variables
13 Defuzzification methods
14 Fuzzy logic Fuzzy propositions

Recomended or Required Reading

Textbook(s):
Ross, T.J., Fuzzy Logic with Engineering Applications, McGraw-Hill, 1995.
Supplementary Book(s):
Lin, C.T. and George Lee, C.S., Neural Fuzzy Systems, Prentice Hall, 1996.
Pedrycz, W., An Introduction to Fuzzy Sets, Massachusets Ins. of Technology, 1998.
Klir, G.J. and Folger, T.A., Fuzzy Sets, Uncertainty and Information, Prentice Hall, 1988.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ovgu.tekin@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation for midterm exam 1 20 20
Preparations before/after weekly lectures 12 4 48
Preparation for final exam 1 30 30
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 141

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1354
LO.2354
LO.3355444
LO.4355444
LO.5554