Type-2 fuzzy sets and systems

Type-2 fuzzy sets and systems

Type-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and systems so that more uncertainty can be handled. From the beginning of fuzzy sets, criticism was made about the fact that the membership function of a type-1 fuzzy set has no uncertainty associated with it, something that seems to contradict the word fuzzy, since that word has the connotation of much uncertainty. So, what does one do when there is uncertainty about the value of the membership function? The answer to this question was provided in 1975 by the inventor of fuzzy sets, Lotfi A. Zadeh, when he proposed more sophisticated kinds of fuzzy sets, the first of which he called a "type-2 fuzzy set". A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way t

Comment
enType-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and systems so that more uncertainty can be handled. From the beginning of fuzzy sets, criticism was made about the fact that the membership function of a type-1 fuzzy set has no uncertainty associated with it, something that seems to contradict the word fuzzy, since that word has the connotation of much uncertainty. So, what does one do when there is uncertainty about the value of the membership function? The answer to this question was provided in 1975 by the inventor of fuzzy sets, Lotfi A. Zadeh, when he proposed more sophisticated kinds of fuzzy sets, the first of which he called a "type-2 fuzzy set". A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way t
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FOU for IT2 FS.jpg
MF of general T2 FS.jpg
T2 FLS.jpg
Has abstract
enType-2 fuzzy sets and systems generalize standard Type-1 fuzzy sets and systems so that more uncertainty can be handled. From the beginning of fuzzy sets, criticism was made about the fact that the membership function of a type-1 fuzzy set has no uncertainty associated with it, something that seems to contradict the word fuzzy, since that word has the connotation of much uncertainty. So, what does one do when there is uncertainty about the value of the membership function? The answer to this question was provided in 1975 by the inventor of fuzzy sets, Lotfi A. Zadeh, when he proposed more sophisticated kinds of fuzzy sets, the first of which he called a "type-2 fuzzy set". A type-2 fuzzy set lets us incorporate uncertainty about the membership function into fuzzy set theory, and is a way to address the above criticism of type-1 fuzzy sets head-on. And, if there is no uncertainty, then a type-2 fuzzy set reduces to a type-1 fuzzy set, which is analogous to probability reducing to determinism when unpredictability vanishes. Type1 fuzzy systems are working with a fixed membership function, while in type-2 fuzzy systems the membership function is fluctuating. A fuzzy set determines how input values are converted into fuzzy variables.
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Type-2 fuzzy sets and systems
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enType-2 fuzzy sets and systems
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dit2fls.com/projects/dit2fls-toolbox/%3Cbr
www.ieee.org/web/education/Expert_Now_IEEE/Catalog/AI.html
dit2fls.com/projects/dit2fls-library-package/
juzzy.wagnerweb.net/
github.com/Haghrah/PyIT2FLS
sipi.usc.edu/~mendel/software.%3Cbr
github.com/carmelgafa/type2fuzzy
web.itu.edu.tr/kumbasart/type2fuzzy.htm
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Category:Artificial intelligence
Category:Fuzzy logic
Category:Logic in computer science
Centroid
Computational intelligence
Control systems
Critical rationalism
Defuzzification
Expert system
Failure mode and effects analysis
File:FOU for IT2 FS.jpg
File:MF of general T2 FS.jpg
File:T2 FLS.jpg
Function approximation
Fuzzy control system
Fuzzy logic
Fuzzy set
Fuzzy set operations
Fuzzy sets
Fuzzy sets and systems
Granular computing
Interval arithmetic
Karl Popper
Lotfi A. Zadeh
Membership function
Perceptual Computing
Random-fuzzy variable
Rough set
Soft set
Vagueness
SameAs
4wXWr
m.05bztns
Q7860605
Subject
Category:Artificial intelligence
Category:Fuzzy logic
Category:Logic in computer science
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