DocumentCode
1944638
Title
Computing with words for interval type-2 fuzzy set based on fuzzy extension principle
Author
Zhao, Liang
Author_Institution
Coll. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China
fYear
2010
fDate
13-15 Aug. 2010
Firstpage
580
Lastpage
585
Abstract
Because there exists drawback in traditional type-1 fuzzy sets to deal with uncertainty, type-2 fuzzy sets have been proposed to replace their type-1 counterparts. This paper presents numerical calculation procedure of computing with words for interval type-2 fuzzy set (IT2 FS) based on fuzzy extension principle. Three kinds of interval type-2 fuzzy sets, such as discrete, semi-discrete and continuous, are focused. We will have given specific application formulas based on fuzzy extension principle. A few numerical examples are employed to verify that our proposing method is effective and valuable.
Keywords
fuzzy set theory; numerical analysis; uncertain systems; fuzzy extension principle; interval type-2 fuzzy set theory; numerical calculation; uncertainty theory; Artificial intelligence; Artificial neural networks; Variable speed drives;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7047-1
Type
conf
DOI
10.1109/ICICIP.2010.5564292
Filename
5564292
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