Title :
Type-2 Fuzzy Sets for Handling Uncertainty in Pattern Recognition
Author :
Zeng, Jia ; Liu, Zhi-Qiang
Author_Institution :
City Univ. of Hong Kong, Kowloon
Abstract :
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.
Keywords :
Markov processes; computational complexity; fuzzy set theory; handwritten character recognition; speech recognition; uncertainty handling; Markov processes; computational complexity; handwritten Chinese character recognition; pattern recognition problems; random uncertainties; speech recognition; type-2 fuzzy sets; uncertainty handling; Character recognition; Frequency selective surfaces; Fuzzy sets; Labeling; Pattern recognition; Pixel; Probability; Speech recognition; Training data; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681869
