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Embedded interval valued type-2 fuzzy sets

Authors: Robert I. John;

Embedded interval valued type-2 fuzzy sets

Abstract

Type-2 fuzzy sets are growing in popularity as, for certain applications they model uncertainty and imprecision better than type-1 fuzzy sets. However, type-2 fuzzy sets can be difficult to understand and explain. Recent work has introduced embedded type-2 fuzzy sets and the representation theorem which enable us to discuss type-2 fuzzy sets in a different way. In particular they allow for alternative proofs of theoretical results which are often easier to follow. Interval valued type-2 fuzzy sets are found to be useful in many application. This paper presents embedded interval valued type-2 fuzzy sets to aid the discussion of interval valued type-2 fuzzy sets and to prove the join and meet of interval valued type-2 fuzzy sets.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Top 10%
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