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 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-Frequently Asked Questions - Covers all those questions that one would ask about Fuzzy Logic.
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 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 anInTech.
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).