Mr. Hankins WordL1_C1_A1 Fuzzy Logic The fuzzy logic branch of

Mr. Hankins
Fuzzy Logic
The fuzzy logic branch of artificial intelligence attempts to model human reasoning by allowing for
approximations and incomplete input data. Instead of demanding precise yes/no or numerical
information, fuzzy logic systems allow users to input “fuzzy” data. The terminology used by the system is
deliberately vague and includes terms such as very probable, somewhat decreased, reasonable, or very
slight. This is an attempt to simulate real-world conditions, where precise answers are rare. A fuzzy logic
system attempts to work more naturally with the user by piecing together an answer in a manner similar
to that used by a traditional expert system. Fuzzy logic SQL database queries seem significantly more
human than traditional queries.
Fuzzy logic systems are much more common in Japan than they are in the United States, where
traditional expert systems and neural networks tend to be favored. In Japan, microprocessors specially
designed by Toshiba and Hitachi to use fuzzy logic operate subways, consumer electronics, automobile
transmissions, and trade shares on the Tokyo Stock Exchange.
Created by Sallie Hankins
Monday, September 27, 2010
Note: Please insert this information between the 4th and 5th sections.