Fuzzy System Component 1.0

Artificial Fuzzy System Component was developed for researchers in the artificial control fields
Artificial Fuzzy System Component was developed for researchers in the artificial control fields and can be also used for building artificial fuzzy systems.

This component can be used within any programming environment (Visual Basic, C Sharp, Visual C, Delphi, Borland C), it optimized for high accuracy and fast processing speed.

Main features of Fuzzy System Component:

Supported different membership types (Triangle, Trapezoidal, Gaussian, PI, Beta, Delta, Crisp, Linear, Custom)

Supported different hedge types (Not, About, Vicinity, Close, Above, Positive, Below, Generally, Somewhat, Very, Extremely, Slightly)

Supported Defuzzification methods (COA, COG, Absolute MOM, Average MOM, Delta COG)

Supported Intersection (Conjunction) methods (Zadeh, Mean, Sqr Mean, Sqrt Mean, Product, Bounded Product, Inverse Product, Log Product, Drastic Product, Bounded Sum, Yager, Dubois Prade)

Supported Union (Disjunction) methods (Zadeh, Mean, Sqr Mean, Sqrt Mean, Product, Bounded Sum, Log Sum, Ratio Sum, Disjoint Sum, Drastic Sum, Yager, Dubois Prade)

Resolution control

Supports And, Or, Alpha Cut , Weight for Rules construction

Easy to uses visual editor, which simplify and speed up system construction time

Provided with Visual tester

Provided with Fuzzy System helper to understand some concepts about hedge, Conjunction, Disjunction

Very light editor while loading and using

Ability to save and load

Very fast signal processing with resolution control, which can be used in real time systems

ActiveX component can be embed within any programming environment (Visual Basic, C Sharp, Visual C, Delphi, Borland C)

Fuzzy System Component 1.0 is related to these topics: Visual , processing , Signal Processing , signal , Visual Editing , Visual Testing .

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