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Fuzzy Logic

**Fuzzy
Control System ** - Fuzzy logic is widely used in machine
control. The term itself inspires a certain skepticism, sounding equivalent to
"half-baked logic" or "bogus logic", but the
"fuzzy" part does not refer to a lack of rigour in the method, rather
to the fact that the logic involved can deal with fuzzy concepts—concepts that
cannot be expressed as "true" or "false" but rather as
"partially true". Although genetic algorithms and neural networks can
perform just as well as fuzzy logic in many cases , fuzzy logic has the
advantage that the solution to the problem can be cast in terms that human
operators can understand, so that their experience can be used in the design of
the controller. This makes it easier to mechanize tasks that are already
successfully performed by humans - from Wikipedia, the free encyclopedia.

**Fuzzy
Logic Links **- A vast number of really good links can be
found here.

**Fuzzy
Logic-The Nets Original Fuzzy Logic Archive**

**Fuzzy
Logic Jumpstart **- Most information
about fuzzy logic is written by Ph.D.'s at the Ph.D. level, and it is difficult
and time consuming for the average person to grasp the nature and value of fuzzy
logic. The three-chapter for personal use
only tutorial makes fuzzy logic understandable and usable for us "Just
Plain Folks" - From Fuzzy
Logic.com

**Fuzzy
Logic Tutorial ** - Steven D. Kaehler- This is the
first in a series of six articles intended to share information and experience
in the realm of fuzzy logic (FL) and its application. This article will
introduce FL. Through the course of this article series, a simple implementation
will be explained in detail. Each article will include additional outside
resource references for interested readers - From the Seattle Robotics Society

**Fuzzy
Logic Reservoir **- An interesting way of presenting all
that is fuzzy - From Ortech Engineering Inc

**Fuzzy
Tech -**This web
server comprises a complete repository for Fuzzy Logic and NeuroFuzzy
applications. It contains free simulation software, case studies, and product
information.

**Fuzzy Logic Clarifies Operations - Statistical tool can give real-time
predictive process fault analysis** - Richard J.
Fickelscherer, Douglas H. Lenz, and Daniel L. Chester - A fuzzy logic
based real-time diagnostic method called the Method of Minimal Evidence (MOME)
uses first principle or statistical models, correlations, and experiential
heuristics to define relationships between particular measured sensor data and
assumed unmeasured process variables that describe normal process operation. It
continuously evaluates those relationships with real-time data to determine
which close and which do not. It also exhaustively combines those relationships
together to form additional but novel relationships, which continuously undergo
evaluation. The resulting patterns of these evaluations undergo interpretation
with a general-purpose fuzzy logic diagnostic rule to determine the certainty
associated with each of the potential fault hypotheses. This algorithm is
general enough to diagnose single and multiple faults directly. From the ISA and
InTech.

Envelope Optimization and Control Using Fuzzy Logic - Fred Thomassom - In the Control Magazine article entitled Envelope Optimization by Bela Liptak (www.controlglobal.com; 1998), a multivariable control strategy is described whereby a process is “herded” to stay within a safe operating envelope while the optimization proceeds. Building on that work, a method to implement Envelope Optimization using fuzzy logic is described in this article (a primer on fuzzy logic and fuzzy control can be found here).