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Generalized Set Theories Applied in Uncertain Information Processing

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Abstract:

Uncertain factors in information bring us serious challenges. In order to apply information effectively, many researchers are committed to the research on uncertain information processing. Generalized set theories are widely used in the research. Several kinds of theories such as Fuzzy sets, Intuitionistic fuzzy sets, Vague sets, Rough sets and Extension sets are introduced in this paper. And a comparation and analysis of them is given in the following.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2419-2423

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2419

Citation:

Cite this paper

Online since:

September 2014

Authors:

Qing Bo Yang*, Jian Long Zhou

Keywords:

Extension Sets, Fuzzy Set, Intuitionistic Fuzzy Sets, Rough Set (RS), Uncertain Information Processing, Vague Sets

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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