Difference between revisions of "Fuzzy"
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This page is for GNUstep developers. It explains the Fuzzy Logic system for e.g. updating the GNUstep System such as drawing to screen. | This page is for GNUstep developers. It explains the Fuzzy Logic system for e.g. updating the GNUstep System such as drawing to screen. | ||
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<h2>What is Fuzzy Logic ?</h2> | <h2>What is Fuzzy Logic ?</h2> | ||
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If you implement all rules in a seperate graph node you can reason your way around a graph. | If you implement all rules in a seperate graph node you can reason your way around a graph. | ||
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The same as a fuzzy network but with a node for each fuzzy logic set or system of nodes of a fuzzy network. | The same as a fuzzy network but with a node for each fuzzy logic set or system of nodes of a fuzzy network. | ||
Revision as of 13:05, 16 December 2014
This page is for GNUstep developers. It explains the Fuzzy Logic system for e.g. updating the GNUstep System such as drawing to screen.
gnustep-fuzzy
What is Fuzzy Logic ?
A fuzzy system is a rule-based systems with inputs and outputs. Each fuzzy rule is associated with a mathematical function. The system is a greedy decision tree algorithm. The rules of a fuzzy system are more random than a decision tree so that it is faster. A decision tree traverses at O(log(n)), the depth of the tree and O(n*log(n)) for a n-ary tree approximately.
As the name fuzzy suggests it uses more general information systems. The functions of the fuzzy logic are most important. For example "extremely" associates with the value x * x * x where x is a floating point number. "a little bit" is associated with sqrt(x) / 1.3 and so on. The fuzzy rules are parsed in succession and yield a value for each natural language word. Thus you can reason as a human what the fuzzy logic should do after a fuzzy function is successful e.g. against some threshold, if x=0 then the "extremely" function i 0 * 0 * 0 = 0 and is smaller than threshold 0.001. The threshold is from Artificial Neural Networks for calculating success of the extremum sought by the network.
Fuzzy Networks
If you implement all rules in a seperate graph node you can reason your way around a graph.
Distributed fuzzy networks
The same as a fuzzy network but with a node for each fuzzy logic set or system of nodes of a fuzzy network.
How does it apply to GNUstep ?
You can reason about what or how to draw to an X11/Xquartz window or GS subelement in the window such as a view, a button or a bitmap. You would use a fuzzy paint node which is in a distributed node system. If you switch nodes you either paint or wait (for example with an idle node) or reason (e.g. with an interrupt you must redraw your app screen) and so on.
source code
author
`Enry the `Ermit <johan@yellowcouch.org>