Fuzzy Logic and Systems Lectures

Fuzzy Logic  is a form of many-valued logic or probabilistic logic; it deals with reasoning that is approximate rather than fixed and exact. In contrast with traditional logic they can have varying values, where binary sets have two-valued logic, true or false, fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.

Source : Wikipedia



Here are lectures slides for Fuzzy Logic and Systems for undergraduate students.

Lecture-1 : Introduction to Fuzzy Logic and Systems. (Download Here)
Lecture-2 : Classical and Fuzzy Sets. (Download Here)
Lecture-3 : Crisp and Fuzzy Relations. (Download Here)
Lecture-4 : Membership Functions. (Download Here)
Lecture-5 : Fuzzy Numbers, Arithmetic, and the Extension Principle. (Download Here)
Lecture-6 : Fuzzy Rules. (Download Here)
Lecture-7 : Decision Making. (Download Here)
Lecture-8 : Classifiers and Pattern Recognition. (Download Here)
Lecture-9 : Fuzzy Control Systems. (Download Here)

Reference used in Fuzzy Logic and Systems are :

1. Fuzzy Logic for Embedded Systems Applications, Ahmad M. Ibrahim

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