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» Uncertainty measures for interval type-2 fuzzy sets
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HAIS
2011
Springer
12 years 11 months ago
Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management
The modelling of real-world complex systems is an area of ongoing interest for the research community. Real-world systems present a variety of challenges not least of which is the ...
Simon Miller, Mario A. Góngora, Robert John
TFS
2010
130views Education» more  TFS 2010»
13 years 2 months ago
Toward General Type-2 Fuzzy Logic Systems Based on zSlices
Abstract--Higher order fuzzy logic systems (FLSs), such as interval type-2 FLSs, have been shown to be very well suited to deal with the high levels of uncertainties present in the...
Christian Wagner, Hani Hagras
ICPR
2004
IEEE
14 years 8 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
FUZZIEEE
2007
IEEE
14 years 1 months ago
A Genetic Algorithm Based Architecture for Evolving Type-2 Fuzzy Logic Controllers for Real World Autonomous Mobile Robots
— The type-2 Fuzzy Logic Controller (FLC) has started to emerge as a promising control mechanism for autonomous mobile robots navigating in real world environments. This is becau...
Christian Wagner, Hani Hagras
ISCI
2007
116views more  ISCI 2007»
13 years 7 months ago
Advances in type-2 fuzzy sets and systems
In this state-of-the-art paper, important advances that have been made during the past five years for both general and interval type-2 fuzzy sets and systems are described. Inter...
Jerry M. Mendel