Course Information

Course Name	Turkish	Bilim ve Mühendislik Uygulamaları İçin Bulanık Mantık İlkeleri
	English	Fuzzy Log.Pr.for Sci.&En.App.
Course Code	BLU 513E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Gülcihan Özdemir
Course Objectives		1. Learning fuzzy logic and principles. 2. Learning the high potential usage of fuzzy logic which is combined with the natural logic of the mind and of the principles of logic, in scientific and engineering areas. 3. Learning how to solve very complex problems without formulations in order to control and predict concerned phenomena with fuzzy logic and principles. 4. Learning how to model for the solution of many current problems with fuzzy logic rules.
Course Description		Uncertainty Concepts; Classical Sets and Characteristic Values; Fuzzy Sets and Membership Degrees; Membership Functions; Fuzzification; Fuzzy Set Operations, And, Or and Not; Fuzzy Relationships; Fuzzy Mathematics, Addition, Subtraction, Multiplication and Division; Fuzzy Rule Base, “if-then”; Fuzzy Logic Propositions, Predicates, Consequents and Decisions; Defuzzification, Fuzzy Rules and Systems, Applications.
Course Outcomes		1. Uncertainty principles’ significance in science 2. Two-valued logic and classical modeling 3. Fuzzy logic principles and fuzzy sets 4. Membership functions determination 5. Rule base determination 6. Mamdani and Sugeno fuzzy inference system modeling 7. Fuzzy decision making 8. Function Modeling; curve fitting with fuzzy sets and rules 9. Fuzzy logic and comparison with various artificial intelligence techniques
Pre-requisite(s)
Required Facilities
Other
Textbook		5. George J. K., Yuan, B., 1995. Fuzzy Sets and Fuzzy Logic / Theory and Applications, Prentice Hall 6. Ross, J., T., 2004. Fuzzy Logic with Engineering Applications, John Wiley & Sons Ltd
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