25-06-2014, 04:44 PM
fuzzy logic
fuzzy logic.pptx (Size: 449.78 KB / Downloads: 19)
Abstract
Definition of 'Fuzzy Logic’:
A mathematical logic that attempts to solve problems by assigning values to an imprecise spectrum of data in order to arrive at the most accurate conclusion possible. Fuzzy logic is designed to solve problems in the same way that humans do: by considering all available information and making the best possible decision given the input.
Fuzzy logic is often applied by advanced trading models/systems that are designed to react to changing markets. The goal of this type of system is to analyze thousands of securities in real time and to present the trader with the best available opportunity
ORIGINS OF FUZZY LOGIC
Traces back to Ancient Greece
Lotfi Asker Zadeh ( 1965 )
First to publish ideas of fuzzy logic.
Professor Toshire Terano ( 1972 )
Organized the world's first working group on fuzzy systems.
F.L. Smidth & Co. ( 1980 )
First to market fuzzy expert systems
FUZZY LOGIC VS. NEURAL NETWORKS
How does a Neural Network work?
Both model the human brain.
Fuzzy Logic
Neural Networks
Both used to create behavioral
systems
FUZZY LOGIC IN CONTROL SYSTEMS
Fuzzy Logic provides a more efficient and resourceful way to solve Control Systems.
Some Examples
Temperature Controller
Anti – Lock Break System ( ABS )
[b]TEMPERATURE CONTROLLER
The problem
Change the speed of a heater fan, based off the room temperature and humidity.
A temperature control system has four settings
Cold, Cool, Warm, and Hot
Humidity can be defined by:
Low, Medium, and High
Using this we can define
the fuzzy set
FUZZY LOGIC IN OTHER FIELDS
Business
Hybrid Modeling
Expert Systems
CONCLUSION
Fuzzy logic provides an alternative way to represent linguistic and subjective attributes of the real world in computing.
It is able to be applied to control systems and other applications in order to improve the efficiency and simplicity of the design process