Abstract
Approximate Reasoning is the process or processes by which a possible imprecise conclusion is deduced from a collection of imprecise premises. Fuzzy logic plays the major role in approximate reasoning. It has the ability to deal with different types of uncertainty.
An overview of the different aspects of the theory of approximate reasoning has been provided here based on the existing literature. Suitable illustrations are included, whenever necessary, to make the concept clear. Some of the implementation of the theory to real life problems have been mentioned. Finally, a linguistic recognition system based on approximate reasoning has been described along with its implementation in speech recognition problem.