Uncertainty Handling Using Fuzzy Logic in Rule Based Systems
In real world computing environment, the information is not complete, precise and certain, making very difficult to derive an actual decision. To deal with processing and modeling of such information, fuzzy techniques are applied to exercise the proper conclusion. This paper focuses on the basics of Fuzzy Logic and its application in rule based systems to make them capable to handle the real world problems. Also, different research issues associated with FRBSs have been discussed. Also, a traffic control system is proposed and evaluated using MATLAB.