An efficient centroid type-reduction strategy for general type-2 fuzzy logic system
By Feilong Liu. Information Sciences, 2008
379 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5e6035535d6d258a29598faf409b57a71ec28f21
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Dongrui Wu
- Hani Hagras
- Jerry M. Mendel
- Christian Wagner
- Yankui Liu
- Kai Yang
- Guoqing Yang
- Feilong Liu
In Statistics and Probability
- Dongrui Wu
- Hani Hagras
- Christian Wagner
- Jerry M. Mendel
- Yankui Liu
- Kai Yang
- Guoqing Yang
- Feilong Liu
Citations in the corpus
- Enhanced Karnik--Mendel Algorithms (2009, methodology): “For N ∈ [3, 100], there is more than a 39% computation time reduction.”
- Toward General Type-2 Fuzzy Logic Systems Based on zSlices (2010, background): “…have presented a geometric representation of general type-2 sets, and, recently, other forms of representation have been introduced, where Mendel and Liu [5], [6] have put forward a representation based on alpha planes, while Wagner and Hagras [9] have introduced the zSlices-based representation.”
- Optimizing fuzzy p-hub center problem with generalized value-at-risk criterion (2014, methodology): “During the applications of type-2 fuzzy theory in practice, several type-reduction methods have been developed in the literature [17–22].”