DocumentCode
2405496
Title
T-algebras as predictors
Author
Barone, Joseph M.
Author_Institution
321 East 43rd Street, #209, New York, 10017 USA
fYear
2009
fDate
14-17 June 2009
Firstpage
1
Lastpage
6
Abstract
Monads and their t-algebras have been studied as an important link between categories and universal algebra. Monads of fuzzy sets, that is, monads which are mappings from sets to complete Heyting algebras, have also been studied for some time (see, e.g.,). This paper reviews two important kinds of monads in this category, singleton monads and fuzzy theories. It is shown that fuzzy theories may have considerable value as a foundation for fuzzy time series forecasting and even directly as a forecasting method.
Keywords
algebra; fuzzy set theory; time series; Heyting algebra; fuzzy set theory; fuzzy time series forecasting method; singleton monad; t-algebra; universal algebra; Algebra; Cloning; Electrostatic precipitators; Fuzzy logic; Fuzzy sets; Information processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location
Cincinnati, OH
Print_ISBN
978-1-4244-4575-2
Electronic_ISBN
978-1-4244-4577-6
Type
conf
DOI
10.1109/NAFIPS.2009.5156436
Filename
5156436
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