TRADITIONAL REPRESENTATION

OF LOGIC
OVERVIEW WHAT IS FUZZY LOGIC?

 What is Fuzzy Logic?  Definition of fuzzy

Where did it begin?  Fuzzy – “not clear, distinct, or precise; blurred”

 Slow Fast
 Fuzzy Logic vs. Neural Networks  Definition of fuzzy logic Speed = 0 Speed = 1

 A form of knowledge representation suitable for bool speed;

 Fuzzy Logic in Control Systems get the speed
notions that cannot be defined precisely, but which if ( speed == 0) {

FUZZY LOGIC  Fuzzy Logic in Other Fields

depend upon their contexts.
// speed is slow
}
else {
Shane Warren  Future // speed is fast
Brittney Ballard }

FUZZY LOGIC REPRESENTATION

CONT. FUZZY LOGIC VS. NEURAL
FUZZY LOGIC REPRESENTATION ORIGINS OF FUZZY LOGIC NETWORKS
Slowest  Traces back to Ancient Greece
 For every problem  How does a Neural Network work?
[ 0.0 – 0.25 ]
must represent in  Lotfi Asker Zadeh ( 1965 )
terms of fuzzy sets.  Both model the human brain.
Slow Slowest Slow Fast Fastest  First to publish ideas of fuzzy logic.
float speed;  Fuzzy Logic
[ 0.25 – 0.50 ] get the speed
 What are fuzzy if ((speed >= 0.0)&&(speed < 0.25)) {  Professor Toshire Terano ( 1972 )  Neural Networks
sets? // speed is slowest
Fast }
 Organized the world's first working group on fuzzy
else if ((speed >= 0.25)&&(speed < 0.5))
{
 Both used to create behavioral
[ 0.50 – 0.75 ] // speed is slow systems.
}
else if ((speed >= 0.5)&&(speed < 0.75))
systems.
Fastest {  F.L. Smidth & Co. ( 1980 )
// speed is fast
[ 0.75 – 1.00 ] }
else // speed >= 0.75 && speed < 1.0
 First to market fuzzy expert systems.
{
// speed is fastest
}

FUZZY LOGIC IN CONTROL TEMPERATURE CONTROLLER

SYSTEMS BENEFITS OF USING FUZZY LOGIC ANTI LOCK BREAK SYSTEM ( ABS )
 The problem
 Change the speed of a heater fan, based off the room  Nonlinear and dynamic in nature
 Fuzzy Logic provides a more efficient and temperature and humidity.
 Inputs for Intel Fuzzy ABS are derived from
resourceful way to solve Control Systems.  A temperature control system has four settings  Brake
 Cold, Cool, Warm, and Hot
 Some Examples  4 WD
 Humidity can be defined by:  Feedback
 Temperature Controller Low, Medium, and High
  Wheel speed
 Anti – Lock Break System ( ABS )  Using this we can define  Ignition
the fuzzy set.  Outputs
 Pulsewidth
 Error lamp

FUZZY LOGIC IN OTHER FIELDS CONCLUSION

 Business  Fuzzy logic provides an alternative way to

 Hybrid Modeling represent linguistic and subjective attributes of

the real world in computing.
 Expert Systems
 It is able to be applied to control systems and
other applications in order to improve the
efficiency and simplicity of the design process.