Fuzzy Logic and Fuzzy Systems â Introduction - Trinity College Dublin
Fuzzy Logic and Fuzzy Systems â Introduction - Trinity College Dublin
Fuzzy Logic and Fuzzy Systems â Introduction - Trinity College Dublin
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
To help protect your privacy, PowerPoint prevented this external picture from being automatically downloaded. To download <strong>and</strong> display this picture, click Options in the Message Bar, <strong>and</strong> then click Enable external content.<br />
To help protect your privacy, PowerPoint prevented this external picture from being automatically downloaded. To download <strong>and</strong> display this picture, click Options in the Message Bar, <strong>and</strong> then click Enable external content.<br />
FUZZY LOGIC & FUZZY SYSTEMS<br />
BACKGROUND & DEFINITIONS<br />
So why can’t the computers do<br />
what we want the computers to<br />
do?<br />
The solution for some is soft<br />
computing – where methods <strong>and</strong><br />
techniques developed in branches<br />
of computing that deal with<br />
partial information, uncertainty<br />
<strong>and</strong> imprecision<br />
45<br />
FUZZY LOGIC & FUZZY SYSTEMS<br />
BACKGROUND & DEFINITIONS<br />
“Soft computing differs from conventional<br />
(hard) computing in that, unlike hard<br />
computing, it is tolerant of imprecision,<br />
uncertainty, partial truth, <strong>and</strong> approximation.<br />
In effect, the role model for soft computing is<br />
the human mind. The guiding principle of soft<br />
computing is: Exploit the tolerance for<br />
imprecision, uncertainty, partial truth, <strong>and</strong><br />
approximation to achieve tractability,<br />
robustness <strong>and</strong> low solution cost.”<br />
The above quotation is from http://www.soft-computing.de/def.html<br />
46<br />
23
Change language