Course Description

Fuzzy logic is an extension of classical Boolean logic that allows for reasoning with imprecise and uncertain information. Classical logic uses strict binary conditions-true or false, 1 or 0. However, real-world engineering problems are rarely so absolute. For instance, when controlling room temperature, the environment might not be simply “hot” or “cold.” Fuzzy logic addresses this by allowing degrees of truth, enabling statements like “slightly hot” or “moderately cold.” This concept was introduced by Lotfi Zadeh in 1965 and has since become integral to modern control and decision-making systems.

What you'll learn in this course?

• Understand the basic principles of fuzzy logic and its difference from classical logic.

• Recognize how fuzziness is used in engineering decision-making and control systems.

• Construct basic fuzzy sets and membership functions.

• Understand fuzzy inference systems and rule-based reasoning.

• Apply fuzzy logic in practical engineering applications.

• Analyze the benefits and limitations of fuzzy control systems.

Prerequisites

• Basic understanding of engineering mathematics, logic, and control-system concepts

• Familiarity with sensors, controllers, or engineering decision processes is helpful