Transcription of FUZZY SYSTEMS - A TUTORIAL - York University
{{id}} {{{paragraph}}}
Example: stock market
FUZZY SYSTEMS - A TUTORIAL - York University
FUZZY SYSTEMS - A TUTORIAL by James F. Brul Copyright James F. Brul 1985 - 2008 Visit my homepage INTRODUCTION FUZZY SYSTEMS is an alternative to traditional notions of set membership and logic that has its origins in ancient Greek philosophy, and applications at the leading edge of Artificial Intelligence. Yet, despite its long-standing origins, it is a relatively new field, and as such leaves much room for development. This paper will present the foundations of FUZZY SYSTEMS , along with some of the more noteworthy objections to its use, with examples drawn from current research in the field of Artificial Intelligence. Ultimately, it will be demonstrated that the use of FUZZY SYSTEMS makes a viable addition to the field of Artificial Intelligence, and perhaps more generally to formal mathematics as a whole.
The notion central to fuzzy systems is that truth values (in fuzzy logic) or membership values (in fuzzy sets) are indicated by a value on the range [0.0, 1.0], with 0.0 …
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
Fuzzy Logic Tutorial, Tutorial, Fuzzy logic, L OGIC S YSTEMS FOR E NGINEERING A T UTORIAL, F UZZY L OGIC S YSTEMS FOR E NGINEERING: A T UTORIAL, Fuzzy logic systems for engineering, Fuzzy Logic Toolbox, Introduction to Fuzzy Sets and Fuzzy Logic, Introduction to Fuzzy Sets and Fuzzy Logic Introduction to Fuzzy Sets and Fuzzy Logic, Fuzzy, Logic, Fuzzy Logic Basics.ppt