Granada 13 - 14 February, 2014
Most real world applications face high levels of uncertainties that can affect the operations of such applications. Hence, there is a need to develop different approaches that can handle the available uncertainties and reduce their effects on the given application. To date, Type-1 Fuzzy Logic Systems (FLSs) have been applied with great success to many different real world applications. The traditional type-1 FLS which uses crisp type-1 fuzzy sets cannot handle high levels of uncertainties appropriately. Nevertheless it has been shown that higher order FLSs such as general type-2 FLSs can handle such uncertainties better and thus produce a better performance. However, the immense computational complexities associated with general type-2 FLSs have until recently prevented their application to real world control problems.
The seminar will explain in detail the type-1 fuzzy systems, the interval type-2 fuzzy logic systems and the general type-2 fuzzy logic systems. This seminar will also explain the concepts of interval and general type-2 FLSs and will present an overview of the type-2 fuzzy logic systems and how they can be used to handle the high level of uncertainties present in real world applications. The seminar will present also novel frameworks to design general type-2 FLS. The seminar will also present the successful application of type-2 FLSs to many real world settingsincluding industrial environments, mobile robots, ambient intelligent environments video congestion control and intelligent decision support systems. The talk will conclude with an overview on the future directions of type-2 FLSs.