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Separation of linguistic information methodology in a fuzzy model

Authors: P. A. C. Salgado; P. A. F. N. A. Afonso; J. A. A. M. Castro;

Separation of linguistic information methodology in a fuzzy model

Abstract

A new methodology for organising the information in different structures was developed: the Separation of Linguistic Information Methodology (SLIM). The concept of relevance, which is in its genesis, was recently proposed, enabling the measurement of the relative importance of rule sets. Based on this methodology, a new algorithm was proposed for the Parallel Collaborative Structure (PCS). As demonstrated in the experimental tests, this new approach may benefit from the capability of recognised fuzzy systems to deal with natural language and model uncertainties. In addition, the proposed SLIM-PCS algorithm has been successfully applied to the modelling of a pilot plant reactor.

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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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