Difference between classical logic and fuzzy logic in soft computing
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What is the difference between fuzzy logic and crisp logic?
Crisp logic is like binary values.
That is either statement answer is 0 or 1. In sampler way , It's define as either value is true or false. Only two value it's varying like binary. But in case of fuzzy we could able to take the intermediate value. In short value in between 0 or 1.
For better understanding, let's take example.
Suppose someone is running. Let's we takes the normalised value of running speed in range of 0 to 1.
Suppose speed is greater than 0.5 value then let's it's consider as fast
And if speed is less than 0.5 then its consider as slow
Here value we define two crisp value that is slow and fast by defining a threshold value as 0.5
This is nothing but the crisp logic. Define like either fast or slow.
In case fuzzy logic. We can take intermediate value like slow, medium, fast, and very fast. Here we define 4 value instead of only 2 value. With fuZZY we can define more than what we defined here in this example
For 0 to .25 ->slow
For .25 to .5 ->medium
For .5 to .75 -> fast
For .75 to 1 -> very fast
Above intermediate value comes under fuzzy logic.
Fuzzy logic is like our humans brains decision. Suppose someone has given you differente food dishes for test and asking your opinion for that dishes.
Hope this will help you.... ✌
Crisp logic is like binary values.
That is either statement answer is 0 or 1. In sampler way , It's define as either value is true or false. Only two value it's varying like binary. But in case of fuzzy we could able to take the intermediate value. In short value in between 0 or 1.
For better understanding, let's take example.
Suppose someone is running. Let's we takes the normalised value of running speed in range of 0 to 1.
Suppose speed is greater than 0.5 value then let's it's consider as fast
And if speed is less than 0.5 then its consider as slow
Here value we define two crisp value that is slow and fast by defining a threshold value as 0.5
This is nothing but the crisp logic. Define like either fast or slow.
In case fuzzy logic. We can take intermediate value like slow, medium, fast, and very fast. Here we define 4 value instead of only 2 value. With fuZZY we can define more than what we defined here in this example
For 0 to .25 ->slow
For .25 to .5 ->medium
For .5 to .75 -> fast
For .75 to 1 -> very fast
Above intermediate value comes under fuzzy logic.
Fuzzy logic is like our humans brains decision. Suppose someone has given you differente food dishes for test and asking your opinion for that dishes.
Hope this will help you.... ✌
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