ABSTRACT

In modelling real life problems, uncertainty and vagueness cannot be avoided when making assumptions. And vagueness can not be accounted for using the crisp set theory.

The Fuzzy set theory proposed by Zadeh provides us with ways to deal with said vagueness, and it has systems in place to deal with problems involving  uncertainty and dearth of information.

This theory has been adapted and incorporated into various fields due to its wide importance and it has helped to model many real-life problems dealing with imprecision.

This study is set to explain in detail the Fuzzy set theory, how optimal it is and its benefit in real world situations.