About the Subject
The 'Fuzzy' word means the things that are not clear or are vague. Sometimes, we cannot decide in real life that the given problem or statement is either true or false. At that time, this concept provides many values between the true and false and gives the flexibility to find the best solution to that problem.
Fuzzy logic contains the multiple logical values and these values are the truth values of a variable or problem between 0 and 1. This concept was introduced by Lofti Zadeh in 1965 based on the Fuzzy Set Theory. This concept provides the possibilities which are not given by computers, but similar to the range of possibilities generated by humans.
Characteristics of Fuzzy Logic
This concept is flexible and we can easily understand and implement it.
It is used for helping the minimization of the logics created by the human.
It is the best method for finding the solution of those problems which are suitable for approximate or uncertain reasoning.
It always offers two values, which denote the two possible solutions for a problem and statement.
It allows users to build or create the functions which are non-linear of arbitrary complexity.
In fuzzy logic, everything is a matter of degree.
In the Fuzzy logic, any system which is logical can be easily fuzzified.
It is based on natural language processing.
It is also used by the quantitative analysts for improving their algorithm's execution.
It also allows users to integrate with the programming.