Type-2 Fuzzy Sets for Handling Uncertainty in Pattern Recognition
Jia Zeng, Zhiqiang Liu · 2006
This paper presents type-2 fuzzy sets (T2 FSs) to handle both fuzzy and random uncertainties in pattern recognition problems. We integrate T2 FSs with Markov processes (MPs) for speech recognition and handwritten Chinese character recognition. Experimental results show that T2 FSs can improve the classification performance in practical applications.