Akademik Dersler - Tanıtım


Code - Course Title	BİM466 - Fuzzy Logic
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ŞURA TOPTANCI
Mode of Delivery	Face to face
Prerequisites	No
Courses Recomended	No
Required or Recommended Resources	-First Course on Fuzzy Theory and Applications\" by K. H. Lee, Springer-Verlag Berlin Heidelberg, 1st Edition, 2005. ISBN: 978-3-540-32366-2-Artificial Intelligence: A Guide to Intelligent Systems by M. Negnevitsky, Pearson Education Canada, 3rd Edition, 2011. ISBN-13: 978-1408225745.- Fuzzy Sets and Fuzzy Logic: Theory and Applications by G. J. Klir, B. Yuan, Pearson College Div, 1st Edition, 1995. ISBN-13: 978-013101171.-An Introduction to Fuzzy Logic and Fuzzy Sets by J. J. Buckley, E. Eslami, Physica-Verlag Heidelberg, 1st Edition, 2002. ISBN: 978-3-7908-1799-7- Fuzzy Logic and Neural Networks Basic Concepts and Applications, R. A. Chennakesava, New Age International (P) Ltd., Publishers, 1st Edition, 2007.- Fuzzy Logic with Engineering Applications by T.J. Ross, Wiley, 3rd Edition, 2010. ISBN13: 978-0470743768
Recommended Reading List
Assessment methods and criteria	1 midterm exam, 2 homework assignments, 1 final exam
Work Placement
Sustainability Development Goals	Quality Education , Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Introduction to Fuzzy Logic
Week - 2	Fuzzy Sets
Week - 3	Fuzzy Set Operations
Week - 4	Fuzzy Relation and Composition
Week - 5	Fuzzy Number
Week - 6	Fuzzy logic
Week - 7	Fuzzy Logic
Week - 8	Fuzzy If-Then Rules
Week - 9	Fuzzy Inference Systems
Week - 10	Mamdani Fuzzy Inference System
Week - 11	Sugeno Fuzzy Inference System
Week - 12	Fuzzy Clustering
Week - 13	Adaptive Neuro-Fuzzy Inference System
Week - 14	Application examples

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0