Type-2 fuzzy sets and systems: an overview
By Jerry M. Mendel. IEEE Computational Intelligence Magazine, 2007
903 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c0b947a404c2df2c1da9e609579a9c34a33ed0a4
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
- Feilong Liu
- Jerry M. Mendel
- Luka Eciolaza
- Tadanari Taniguchi
- Michio Sugeno
- Víctor C. S. Campos
- Reinaldo Martinez Palhares
- Anh‐Tu Nguyen
In Statistics and Probability
- Feilong Liu
- Jerry M. Mendel
- Luka Eciolaza
- Tadanari Taniguchi
- Michio Sugeno
- Víctor C. S. Campos
- Reinaldo Martinez Palhares
- Anh‐Tu Nguyen
Citations in the corpus
- Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach (2008, methodology): “Using the representation theorem for an IT2 FS [16], a word’s IT2 FS Ã is computed as”
- Fuzzy Control Systems: Past, Present and Future (2019, methodology): “Although there are conditions considering the information on the shape of the MFs, see for instance [29], [47], we believe that more powerful methodologies could arise with the use of interval type-2 T-S fuzzy modeling techniques [88]–[91].”