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Complete and Linear Hedge Algebras, Fuzziness Measure of Vague Concepts and Linguistic Hedges and Application

Authors: Nguyen Cat Ho;

Complete and Linear Hedge Algebras, Fuzziness Measure of Vague Concepts and Linguistic Hedges and Application

Abstract

In the paper, we shall examine fuzziness measure of terms in linear and complete hedge algebras of a linguistic variable. A notion of the so‐called semantically quantifying mappings will be redefined more generally and it will be established a closed relationship between fuzziness measure and a class of semantically quantifying mappings defined by a recursive expression with parameters to be fuzziness measure of primary terms and linguistic hedges. An application of fuzziness measure and semantically quantifying mappings in solving fuzzy the multiple conditional reasoning problem will be presented to show an applicability of hedge algebras.

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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!
1
Average
Average
Average
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