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OF FACULTY of TECHNOLOGY / DEPARTMENT of SOFTWARE ENGINEERING /
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ISL6430Fuzzy Logic and Business Applications3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of BUSINESS ADMINISTRATION
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Practical
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The course aims to give the basic theoretical and practical knowledge to fuzzy logic and apply to the main areas of business such as production, marketing and finance.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Describe fuzzy logic and fuzzy decision making 1,2,3,4,5,6,7,8,9,101,3
PO - 2 : Explain similarities and differencies between fuzzy decision making technigues 1,31,3
PO - 3 : Apply one of the fuzzy decision making techniques to a problem1,2,31,3
PO - 4 : Analyze the results obtained from the technigue in terms of decision goal appropriateness 1,2,31,3
PO - 5 : Reorganize the firm applications according to the results obtained from the technigue1,2,31,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Classical and Fuzzy Sets, Membership Functions, Classical and Fuzzy Relations, Defuzzification, Fuzzy Rule-Based Systems, Fuzzy Decision Making
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction
 Week 2Classical and Fuzzy Sets
 Week 3Membership Functions
 Week 4Classical and Fuzzy Relations
 Week 5Defuzzification
 Week 6Fuzzy Rule-Based Systems
 Week 7Fuzzy Decision Making
 Week 8Fuzzy Decision Making
 Week 9 Mid-term exam
 Week 10Application Papers
 Week 11Application Papers
 Week 12Application Papers
 Week 13Project Presentation
 Week 14Project Presentation
 Week 15Review
 Week 16End-of-term exam
 
Textbook / Material
1Ross T.J., 1995, Fuzzy Logic With Engineering Applications, McGraw-Hill, New York
2Chen, S. J. , Hwang, C. L., 1992, Fuzzy Multiple Attribute Decision Making Methods and Applications, Springer-Verlag, Berlin
 
Recommended Reading
1Şen, Z., 2008, Mühendislikte Bulanık Mantık İle Modelleme Prensipleri, Su Vakfı Yayınları, İstanbul
2 Bojadziev, G., Bojadziev, M., 2007, Fuzzy Logic for Business, Finance, and Management, 2nd Edition, Imperial College Press, Hackensack, NJ
3Kahraman, C., 2008, Fuzzy Multi-Criteria Decision Making:Theory and Applications with Recent Developments, Springer, Berlin
4Kahraman, C., 2000, Fuzzy Applications in Industrial Engineering, Springer, Berlin
5Lai, Y.-J., Hwang, C.-L., 1996, Fuzzy Multiple Objective Decision Making; Methods and Applications, Springer-Verlag, Berlin
6Lu, J., Zhang, G., Ruan, D., Wu, F., 2007, Multi Objective Group Decision Making-Methods, Software, and Applications with Fuzzy Set Techniques, Imperial College Press, London
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 19/11/2018 1 30
Project 12 14/12/2013 1 20
End-of-term exam 16 7/01/2019 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 5 14 70
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 30 1 30
Arasınav 1 1 1
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 40 1 40
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 40 1 40
Dönem sonu sınavı 1 1 1
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load224