Advances in type-2 fuzzy sets and systems
By Jerry M. Mendel. Information Sciences, 2007
683 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/14c20dd855b81938e380ef0fa577c4e6257fd4b2
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
- Zeshui Xu
- Francisco Herrera
- Hani Hagras
- Edurne Barrenechea Tartas
- Jerry M. Mendel
- Humberto Bustince
- Javier Montero
In Management Science and Operations Research
- Zeshui Xu
- Francisco Herrera
- Dongrui Wu
- Humberto Bustince
- Javier Fernández
- Luis Martínez-López
- Enrique Herrera-Viedma
- Javier Montero
In Statistics and Probability
- Dongrui Wu
- Francisco Herrera
- Hani Hagras
- Zeshui Xu
- Humberto Bustince
- Javier Fernández
- Edurne Barrenechea Tartas
- Benjamín René Callejas Bedregal
Citations in the corpus
- On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers (2012, methodology): “10There are several other methods [16], [17], [32], [39] that bypass type reduction; however, they require the rule consequents to be IT2 FSs so that the union of the fired rule output sets can be computed and used, whereas our IT2 FLC structure, which was defined in Section II, only uses the centro”
- A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, background): “[95] J. M. Mendel, “Type-2 fuzzy sets for computing with words,” in Proc.”
- Uncertainty measures for interval type-2 fuzzy sets (2007, background): “Recently, there has been a growing interest in type-2 (T2) fuzzy set and system theory [79,46,47].”