DocumentCode
10897
Title
Fuzzy
-Ellipsoid Numbers and Representations of Uncertain Multichannel Digital Information
Author
Guixiang Wang ; Peng Shi ; Baoping Wang ; Jiaxi Zhang
Author_Institution
Inst. of Operational Res. & Cybern., Hangzhou Dianzi Univ., Hangzhou, China
Volume
22
Issue
5
fYear
2014
fDate
Oct. 2014
Firstpage
1113
Lastpage
1126
Abstract
In this paper, we present the definition of fuzzy n-ellipsoid numbers that are a special kind n-dimensional fuzzy numbers which are not only more objective and more rational in expressing uncertain multichannel digital information than are fuzzy n-cell numbers but keep the convenience being used in applications and researches of the theory as well. We also obtain two representation results. Then, for the sake of the application of fuzzy n-ellipsoid numbers, we define some special kinds of fuzzy n-ellipsoid numbers, investigate their properties, set up a specific iterative algorithm of their membership function value, and prove the convergence of the iterative algorithm. And then, we establish an algorithmic version of constructing fuzzy n-ellipsoid numbers to express an object that is characterized by a group of uncertain multichannel digital information, as well as give practical examples to show the application and rationality of the proposed techniques.
Keywords
convergence of numerical methods; fuzzy set theory; iterative methods; signal representation; fuzzy n-cell numbers; fuzzy n-ellipsoid numbers; iterative algorithm; membership function value; n-dimensional fuzzy numbers; uncertain multichannel digital information representations; Australia; Calculus; Convergence; Educational institutions; Electronic mail; Iterative methods; Vectors; Expression of uncertain multichannel information; fuzzy $n$ -cell numbers; fuzzy $n$ -ellipsoid numbers; fuzzy numbers; membership function value;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/TFUZZ.2013.2282167
Filename
6600937
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