Interval Type-2 Fuzzy Logic Systems Made Simple

By Jerry M. Mendel, Robert Ivor John, Feilong Liu. IEEE transactions on fuzzy systems, 2006

2,091 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e8f4c7477e95001efa4df08839495b0a4fc2b814

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Citations in the corpus

Control of Nonlinear Networked Systems With Packet Dropouts: Interval Type-2 Fuzzy Model-Based Approach (2015, neutral): “[30] J. M. Mendel and X. Liu, “Simplified interval type-2 fuzzy logic systems,” IEEE Trans.”
Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach (2008, methodology): “Similarity of all of the words to one another can be computed using the similarity measure for IT2 FSs that is described in [33].”
Profit Maximization Solid Transportation Problem with Trapezoidal Interval Type-2 Fuzzy Numbers (2016, background): “[6] proposed some definitions of interval type-2 fuzzy sets.”
Stability Analysis of Interval Type-2 Fuzzy-Model-Based Control Systems (2008, background): “Despite their capability and nice properties, the type-2 fuzzy sets, which are still an emerging area of vigorous research activities, are more complex and computationally intensive [ 11 ]–[13].”
Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching (2014, background): “It has been shown in the literature that type-2 fuzzy sets [30], which extend the capability of type-1 fuzzy sets, are good in representing and capturing uncertainties, supported by a number of applications such as adaptive filtering [31], analog module implementation and design [32], [33], active s”
An efficient centroid type-reduction strategy for general type-2 fuzzy logic system (2008, background): “provide us great understanding on the relation between type-1 fuzzy sets and type-2 fuzzy sets, as shown in [ 14 ].”
Advances in type-2 fuzzy sets and systems (2007, methodology): “Corollary 1 (Representation for an IT2 FS [ 55 ]).”
Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets (2010, background): “Definition 2.3 (Mendel et al., 2006).”
A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, methodology): “However, Torra provided an explicit definition for union and intersection of HFSs, whereas this was not the case for Grattan-Guinness’ SVFSs. 3) To analyze the difference between IVFSs and IT2FSs, and to show that both are related to HFSs. 4) To analyze the relationships between IVFSs, AIFSs, IVAIFS”