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An extended soft set model: Type-2 fuzzy soft sets

Authors: Xir;ao Ma; Guoyin Wang;

An extended soft set model: Type-2 fuzzy soft sets

Abstract

The soft set theory has been initiated by Molodtsov as a useful mathematical tool for dealing with uncertainty, fuzzy, not clearly defined objects. However, it is inappropriate to be used to deal with fuzzy parameters that involve uncertain words, linguistic terms and have a non-measurable domain. In this paper, we present an extended soft set model which is called type-2 fuzzy soft sets by combining the type-2 fuzzy set and soft set models. The complement, ”and”, “or”, union and intersection operations are defined on the type-2 fuzzy soft sets. The related properties of type-2 fuzzy soft sets are also presented and discussed.

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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!
3
Average
Average
Average
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