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Computing with words for interval type-2 fuzzy set based on fuzzy extension principle

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1 Author(s)
Liang Zhao ; Coll. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China

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.

Published in:

Intelligent Control and Information Processing (ICICIP), 2010 International Conference on

Date of Conference:

13-15 Aug. 2010

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