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Fuzzy logic has two unique implications. In a thin sense, fluffy
rationale is a coherent framework, which is an expansion of multi
esteemed rationale. In any case, in a more extensive sense fluffy
rationale (FL) is practically synonymous with the hypothesis of fluffy
sets, a hypothesis which identifies with classes of items with unsharp
limits in which participation involves degree. In this point of view,
fluffy rationale in its tight sense is a part of FL. Indeed, even in its
increasingly thin definition, fluffy rationale contrasts both in idea and
substance from customary multi esteemed coherent frameworks.

There are some fuzzy logic applications which are used in different area
such as:

Control of rocket height

Satellite stature control

Insightful parkway framework

Traffic control

Basic leadership help framework

Moistness in a perfect room

Cooling framework

Clothes washer time

Microwaves

vacuum more clean

Bank exchange control

Store the board

Securities exchange forecast

Fluffy rationale based

Penmanship acknowledgment

Direction investigation

Fluffy Image Search

Train calendar control

Speed of railroads

Braking and ceasing

Controlling Structural Design