Further Reading
- For the reader who is new to interval type-2 fuzzy sets and systems and wants to learn more about them, without getting into lots of details, the easiest way to do this is to read Mendel's 2007 magazine article, or Wu's brief tutorial on interval type-2 fuzzy sets and systems. The latter also contains a Matlab implementation of interval type-2 fuzzy logic systems.
- For the reader who is new to interval type-2 fuzzy sets and systems and wants to learn more about them, with lots of details, but does not want to first learn about general type-2 fuzzy sets and systems, the easiest way to do this is to read the journal article by Mendel, John and Liu .
- For the reader who is new to type-2 fuzzy sets and systems and wants to learn more about them, wants all of the details, wants a top-down presentation—from general type-2 to interval type-2—, and wants to see how they compare with type-1 fuzzy sets and systems, the easiest way to do this is to read Mendel's 2001 textbook .
- For the reader who wants to learn about a very powerful and useful representation for general type-2 fuzzy sets, in terms of simpler type-2 fuzzy sets that are called embedded type-2 fuzzy sets, read the paper by Mendel and John .
- For the reader who may already be familiar with type-2 fuzzy sets and systems and who wants to know what has happened since the 2001 publication of Mendel's book, see Mendel's 2007 journal article and also the 2008 book by Castillo and Melin .
- The February 2007 issue of the IEEE Computational Intelligence Magazine is a special issue that is about type-2 fuzzy sets and systems. This issue contains articles (see the reference list below) about:
- The history of type-2 fuzzy logic, by Bob John and Simon Coupland
- Type-2 fuzzy logic controllers, by Hani Hagras
- Fuzzy clustering using type-2 fuzzy sets, by Frank Rhee
- Hardware implementation for a type-2 fuzzy system, by Miguel Melgarejo
Read more about this topic: Type-2 Fuzzy Sets And Systems
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