On the accuracy of type-2 fuzzy sets
This paper presents the first ever method for measuring the accuracy of a type-2 fuzzy set. When designing a type-2 fuzzy logic system there are many different parameters to tune. Many of these parameters affect the accuracy of the type-2 fuzzy sets, and hence affect system performance. This paper gives engineers the ability to measure accuracy before the system is executed. This has the potential to significantly reduce the design time for this type of system. The paper integrates two academic disciplines, fuzzy logic and statistics to provide a highly useful tool for engineers.
Citation : Coupland, S. & John, R.I. (2007) On the accuracy of type-2 fuzzy sets. Proceedings of IEEE International Conference on Fuzzy Systems, pp. 131-136.
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)