Geometric Type-1 and Type-2 Fuzzy Logic Systems

By Simon Coupland, Robert Ivor John. IEEE transactions on fuzzy systems, 2007

324 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/b9575e60a92098d2528e89fd400a8c8ec8011802

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

1. Dongrui Wu
2. Christian Wagner
3. Hani Hagras
4. Jerry M. Mendel
5. Hak-Keung Lam
6. Lakmal D. Seneviratne

In Computational Theory and Mathematics

1. Dongrui Wu
2. Hani Hagras

Citations in the corpus

• On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers (2012, methodology): “Additionally, these are some new algorithms for computing the centroid of IT2 FSs [10], [18], [19], which may also be used for type reduction and defuzzification of IT2 fuzzy logic systems; however, since they have not been used in fuzzy logic control, they are not considered in this paper.”
• Toward General Type-2 Fuzzy Logic Systems Based on zSlices (2010, background): “General type-2 FLSs have only recently been investigated in more detail [4]–[11], [16] as the high complexity associated with their design and their computational requirements made them appear unsuitable for real-world use.”