Jan 21, 2020  
2017-2018 Undergraduate Academic Catalog 
2017-2018 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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EE 481 - Fuzzy Sets and Applications

3 lecture hours 0 lab hours 3 credits
Course Description
This course introduces students to the basic concepts of modeling uncertainty in systems through the use of fuzzy sets. The underlying concepts of fuzzy sets are introduced and their role in such applications as semantic interpreters, control systems and reasoning systems is presented. Students gain firsthand experience of fuzzy sets through a class project. (prereq: senior standing in CE, EE, or SE)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Understand how fuzzy sets model ambiguity
  • Manipulate fuzzy membership functions for simple operations
  • Be familiar with the nature and use of fuzzy relations
  • Perform linguistic analysis using fuzzy sets
  • Develop and simulate simple fuzzy controllers
  • Familiar with a wide variety of areas in which fuzzy sets may be applied
  • Perform a class project

Prerequisites by Topic
  • Boolean algebra
  • Basic control theory
  • High-level language programming

Course Topics
  • Review of set theory (3 classes)
  • Basic fuzzy set definitions and operators (3 classes)
  • Extensions of crisp operators to fuzzy sets (3 classes)
  • Fuzzy relations and fuzzy reasoning (3 classes)
  • Control theory and the use of fuzzy sets (5 classes)
  • Other fuzzy set applications from the current literature (7 classes)
  • Class project (3 classes)
  • Reviews and examinations (2 classes)

Richard Kelnhofer

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