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» Advances in type-2 fuzzy sets and systems
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ICPR
2004
IEEE
14 years 6 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
EAAI
2006
161views more  EAAI 2006»
13 years 5 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan
ISDA
2009
IEEE
13 years 12 months ago
Introducing Type-2 Fuzzy Sets for Image Texture Modelling
Jesús Chamorro-Martínez, Pedro Mart&...
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
TSMC
2008
137views more  TSMC 2008»
13 years 5 months ago
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
Chia-Feng Juang, Yu-Wei Tsao