Implement Fuzzy Logic

               Implement  Fuzzy  Logic

In Boolean or two valued logic the truth values of a variable will always be either 0 or 1 and in traditional two-valued set theory , one element belongs to the set or not.

Similar to this in typical Classification problem, an observation is classified into one of several different classes . In all of these  case there is a definitive true value.

Fuzzy logic presents a different approach to these problems , In fuzzy logic the truth values of a variable or the label  (in a classification problem) is a real number between 0 and 1.

The word  Fuzzy means  hazy, blured, confeaed  and not clear.

When it comes to binary logic the statement is either True or False 1 or 0.

On a pleasant summer day the statement “ temperature is too high”.It means that the real world is too complicated for precise description of certain situations, therefore fuzziness must be introduced in order to get n traceable and reasonable model.

It means there is no certainity and it all depends on the content.