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A new recursive type-reduction procedure for general type-2 fuzzy sets

Authors: Carmel Gafa; Simon Coupland;

A new recursive type-reduction procedure for general type-2 fuzzy sets

Abstract

There is growing interest in the area of general type-2 fuzzy systems, with a increasing number of representations and approaches emerging which attempts to achieve the perceived benefits of type-2 systems without requiring the prohibitive level of computational expense. This paper presents a new recursive procedure for calculating the centroid of a general type-2 fuzzy set as given by the extension principle in an efficient way. The results given here demonstrate that this new recursive defuzzifier will be of great interest to researchers working on defuzzication algorithms for general type-2 fuzzy sets and show potential for real world application.

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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!
8
Average
Average
Top 10%
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