Fuzzy Logic
Application areas
Introduction
Main parts
Fuzzy logic is the way in which human brain works and use the technology in the machine so that they can perform somewhat like humans and provide expressive power and higher capability to model complex problem
Automotive system
Consumer Electronic Goods
Environment Control
Automatic Gearboxes
Four-Wheel String
Environment Control
Humidifier
Television
Hi-Fi System
Photocopiers
Advantages
Disadvantages
became obstacle to the verification of system realiability
Fuzzy reasoning mechanism cannot learn from their mistake
Eliminate borderline cases
allows for the modeling and include of contradiction in knowledge base
Increase the system autonomy
Inference Engine
Knowledge Based
Fuzzification
Defuzzification
The process of transformation crisp input values into linguistic values.
Converts the fuzzy values into crisp value
It transfers the fuzzy set obtained by the inference engine into a crisp valur
It stores IF-THAN rules providing by experts