Fuzzy and Probability

In the real world, we use measurement based, numerical, perception based or linguistic information. The probability theory is based on perception and has only two outcomes (true or false). Fuzzy theory is based on linguistic information and is extended to handle the concept of partial truth. Fuzzy values are determined between true or false. Fuzzy theory was introduced by Lotfi Zadeh as a means to model the uncertainty of natural language. From mathematical perspective, fuzzy and probability exist as part of information theory, which represent uncertainty. This paper describes about the similarity and difference between fuzzy and probability. Furthermore, the application of fuzzy logic in control system is described.