Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / İŞLD652 - BUSINESS MANAGEMENT (PHD)

Code: İŞLD652

Course Title: FUZZY LOGIC VE MODELS

Theoretical+Practice: 3+0

ECTS: 6

Year/Semester of Study

1 / Spring Semester

Level of Course

3rd Cycle Degree Programme

Type of Course

Optional

Department

BUSINESS MANAGEMENT (PHD)

Pre-requisities and Co-requisites

None

Mode of Delivery

Face to Face

Teaching Period

14 Weeks

Name of Lecturer

NURİ ÖZGÜR DOĞAN (nodogan@nevsehir.edu.tr)

Name of Lecturer(s)

Language of Instruction

Turkish

Work Placement(s)

None

Objectives of the Course

The goal of this course is to gain knowledge and skill for applying fuzzy modelling to real life problems different from the idea with deterministic and stochastic modelling.

Learning Outcomes		PO	MME
The students who succeeded in this course:
LO-1	Can explain the fundamental concepts related to fuzzy sets and systems	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination
LO-2	Can model real life problems in fuzzy environment and thus can propose more realistic solutions to those problems	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination Performance Project
LO-3	Can formulize and solve advanced engineering problems	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination
LO-4	Can make critical analysis, synthesize and evaluate of new and complex events	PO-7 The candidate can search theoretical and practical knowledge and skills which can gained in the field of Business Administration, can determine these knowledge and skills how it is used in practice and field analysis, can adapt and analyze these knowledge and skills, can make critical decisions, and can apply by reaching synthesis.	Examination Performance Project
PO: Programme Outcomes MME:Method of measurement & Evaluation

Course Contents
Uncertainty concepts, classic sets and their characteristic values, fuzzy sets, membership degrees in fuzzy sets and membership functions, fuzzification, fuzzy arithmetic, fuzzy relations, fuzzy relation operations, possibility theory, fuzzy logic, fuzzy logic inference, fuzzy decision making, examples from engineering and other applications
Weekly Course Content
Week	Subject	Learning Activities and Teaching Methods
1	Classical Set Theory, Fundamental Concepts of sets and introduction to fuzzy sets theory	verbal lecture and discussion
2	Fuzzy sets theory	verbal lecture and discussion
3	Fuzzy number concept and the characteristics of fuzzy numbers	verbal lecture and discussion
4	Interval Arithmetic, Operations on Fuzzy Sets	verbal lecture and discussion
5	Features of the Membership Function	verbal lecture and discussion
6	Membership Functions, Fuzzification, and Defuzzification	verbal lecture and discussion
7	Possibility and uncertainty	verbal lecture and discussion
8	mid-term exam
9	Classic logic and fuzzy logic	verbal lecture and discussion
10	Fuzzy logic modelling and control	verbal lecture and discussion
11	Fuzzy logic modelling and control	verbal lecture and discussion
12	Fuzzy logic inference	verbal lecture and discussion
13	Fuzzy decision making	verbal lecture and discussion
14	Fuzzy logic application examples	Performance Homework
15	Fuzzy logic application examples	Performance Homework
16	final exam
Recommend Course Book / Supplementary Book/Reading
1	Klir, G.J. and Yuan, B., "Fuzzy Sets and Fuzzy Logic", Prentice Hall, 1995
2	Lai, Y.J., Hwan, C.L., Fuzzy Mathematical Programming, Methods and Applications, Springer-Verlag, 1992.
3	Dubois, D., Prade, H., Fuzzy Sets And Systems Theory and Applications, Academic Pres, INC. 1980
Required Course instruments and materials
Text Book, Writing Board, Projection Device

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	16	2	60

Student Work Load
Type of Work	Weekly Hours	Number of Weeks	Work Load
Weekly Course Hours (Theoretical+Practice)	3	14	42
Outside Class
a) Reading	3	14	42
b) Search in internet/Library	3	14	42
c) Performance Project	4	2	8
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	3	5	15
mid-term exam	2	1	2
Own study for final exam	3	7	21
final exam	2	1	2
			0
			0
Total work load;			174