DocumentCode :
1761764
Title :
Uncertainty Representation of Grey Numbers and Grey Sets
Author :
Yingjie Yang ; Sifeng Liu ; John, Ranjith
Author_Institution :
Sch. of Comput. Sci. & Inf., De Montfort Univ., Leicester, UK
Volume :
44
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
1508
Lastpage :
1517
Abstract :
In the literature, there is a presumption that a grey set and an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper, new measurements of uncertainties of grey numbers and grey sets, consisting of both absolute and relative uncertainties, are defined to give a comprehensive representation of uncertainties in a grey number and a grey set. Some simple examples are provided to illustrate that the proposed uncertainty measurement can give an effective representation of both absolute and relative uncertainties in a grey number and a grey set. The relationships between grey sets and interval-valued fuzzy sets are also analyzed from the point of view of the proposed uncertainty representation. The analysis demonstrates that grey sets and interval-valued fuzzy sets provide different but overlapping models for uncertainty representation in sets.
Keywords :
fuzzy set theory; grey systems; number theory; grey numbers; grey sets; interval-valued fuzzy set; uncertainty measurement; uncertainty representation; Computer science; Cybernetics; Educational institutions; Fuzzy sets; Measurement uncertainty; Rough sets; Uncertainty; Fuzzy sets; grey sets; relative uncertainty;
fLanguage :
English
Journal_Title :
Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2267
Type :
jour
DOI :
10.1109/TCYB.2013.2288731
Filename :
6668878
Link To Document :
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